A group of scientists conclude that it’s shifting weather patterns and ocean conditions.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Read my blog posting guidelines here.
A group of scientists conclude that it’s shifting weather patterns and ocean conditions.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Read my blog posting guidelines here.
Interesting paper by Michael Schwarz, Samuel Weiser, Daniel Gruss. The upshot is that both Intel and AMD have assumed that trusted enclaves will run only trustworthy code. Of course, that’s not true. And there are no security mechanisms that can deal with malicious enclaves, because the designers couldn’t imagine that they would be necessary. The results are predictable.
The paper: “Practical Enclave Malware with Intel SGX.”
Abstract: Modern CPU architectures offer strong isolation guarantees towards user applications in the form of enclaves. For instance, Intel’s threat model for SGX assumes fully trusted enclaves, yet there is an ongoing debate on whether this threat model is realistic. In particular, it is unclear to what extent enclave malware could harm a system. In this work, we practically demonstrate the first enclave malware which fully and stealthily impersonates its host application. Together with poorly-deployed application isolation on personal computers, such malware can not only steal or encrypt documents for extortion, but also act on the user’s behalf, e.g., sending phishing emails or mounting denial-of-service attacks. Our SGX-ROP attack uses new TSX-based memory-disclosure primitive and a write-anything-anywhere primitive to construct a code-reuse attack from within an enclave which is then inadvertently executed by the host application. With SGX-ROP, we bypass ASLR, stack canaries, and address sanitizer. We demonstrate that instead of protecting users from harm, SGX currently poses a security threat, facilitating so-called super-malware with ready-to-hit exploits. With our results, we seek to demystify the enclave malware threat and lay solid ground for future research on and defense against enclave malware.
Voice systems are increasingly using AI techniques to determine emotion. A new paper describes an AI-based countermeasure to mask emotion in spoken words.
Their method for masking emotion involves collecting speech, analyzing it, and extracting emotional features from the raw signal. Next, an AI program trains on this signal and replaces the emotional indicators in speech, flattening them. Finally, a voice synthesizer re-generates the normalized speech using the AIs outputs, which gets sent to the cloud. The researchers say that this method reduced emotional identification by 96 percent in an experiment, although speech recognition accuracy decreased, with a word error rate of 35 percent.
The Department of Justice wants access to encrypted consumer devices but promises not to infiltrate business products or affect critical infrastructure. Yet that’s not possible, because there is no longer any difference between those categories of devices. Consumer devices are critical infrastructure. They affect national security. And it would be foolish to weaken them, even at the request of law enforcement.
In his keynote address at the International Conference on Cybersecurity, Attorney General William Barr argued that companies should weaken encryption systems to gain access to consumer devices for criminal investigations. Barr repeated a common fallacy about a difference between military-grade encryption and consumer encryption: “After all, we are not talking about protecting the nation’s nuclear launch codes. Nor are we necessarily talking about the customized encryption used by large business enterprises to protect their operations. We are talking about consumer products and services such as messaging, smart phones, e-mail, and voice and data applications.”
The thing is, that distinction between military and consumer products largely doesn’t exist. All of those “consumer products” Barr wants access to are used by government officials — heads of state, legislators, judges, military commanders and everyone else — worldwide. They’re used by election officials, police at all levels, nuclear power plant operators, CEOs and human rights activists. They’re critical to national security as well as personal security.
This wasn’t true during much of the Cold War. Before the Internet revolution, military-grade electronics were different from consumer-grade. Military contracts drove innovation in many areas, and those sectors got the cool new stuff first. That started to change in the 1980s, when consumer electronics started to become the place where innovation happened. The military responded by creating a category of military hardware called COTS: commercial off-the-shelf technology. More consumer products became approved for military applications. Today, pretty much everything that doesn’t have to be hardened for battle is COTS and is the exact same product purchased by consumers. And a lot of battle-hardened technologies are the same computer hardware and software products as the commercial items, but in sturdier packaging.
Through the mid-1990s, there was a difference between military-grade encryption and consumer-grade encryption. Laws regulated encryption as a munition and limited what could legally be exported only to key lengths that were easily breakable. That changed with the rise of Internet commerce, because the needs of commercial applications more closely mirrored the needs of the military. Today, the predominant encryption algorithm for commercial applications — Advanced Encryption Standard (AES) — is approved by the National Security Agency (NSA) to secure information up to the level of Top Secret. The Department of Defense’s classified analogs of the Internet — Secret Internet Protocol Router Network (SIPRNet), Joint Worldwide Intelligence Communications System (JWICS) and probably others whose names aren’t yet public — use the same Internet protocols, software, and hardware that the rest of the world does, albeit with additional physical controls. And the NSA routinely assists in securing business and consumer systems, including helping Google defend itself from Chinese hackers in 2010.
Yes, there are some military applications that are different. The US nuclear system Barr mentions is one such example — and it uses ancient computers and 8-inch floppy drives. But for pretty much everything that doesn’t see active combat, it’s modern laptops, iPhones, the same Internet everyone else uses, and the same cloud services.
This is also true for corporate applications. Corporations rarely use customized encryption to protect their operations. They also use the same types of computers, networks, and cloud services that the government and consumers use. Customized security is both more expensive because it is unique, and less secure because it’s nonstandard and untested.
During the Cold War, the NSA had the dual mission of attacking Soviet computers and communications systems and defending domestic counterparts. It was possible to do both simultaneously only because the two systems were different at every level. Today, the entire world uses Internet protocols; iPhones and Android phones; and iMessage, WhatsApp and Signal to secure their chats. Consumer-grade encryption is the same as military-grade encryption, and consumer security is the same as national security.
Barr can’t weaken consumer systems without also weakening commercial, government, and military systems. There’s one world, one network, and one answer. As a matter of policy, the nation has to decide which takes precedence: offense or defense. If security is deliberately weakened, it will be weakened for everybody. And if security is strengthened, it is strengthened for everybody. It’s time to accept the fact that these systems are too critical to society to weaken. Everyone will be more secure with stronger encryption, even if it means the bad guys get to use that encryption as well.
This essay previously appeared on Lawfare.com.
Modern credit card skimmers hidden in self-service gas pumps communicate via Bluetooth. There’s now an app that can detect them:
The team from the University of California San Diego, who worked with other computer scientists from the University of Illinois, developed an app called Bluetana which not only scans and detects Bluetooth signals, but can actually differentiate those coming from legitimate devices — like sensors, smartphones, or vehicle tracking hardware — from card skimmers that are using the wireless protocol as a way to harvest stolen data. The full details of what criteria Bluetana uses to differentiate the two isn’t being made public, but its algorithm takes into account metrics like signal strength and other telltale markers that were pulled from data based on scans made at 1,185 gas stations across six different states.
It’s always nice when I can combine squid and security:
Multiple versions of the Squid web proxy cache server built with Basic Authentication features are currently vulnerable to code execution and denial-of-service (DoS) attacks triggered by the exploitation of a heap buffer overflow security flaw.
The vulnerability present in Squid 4.0.23 through 4.7 is caused by incorrect buffer management which renders vulnerable installations to “a heap overflow and possible remote code execution attack when processing HTTP Authentication credentials.”
“When checking Basic Authentication with HttpHeader::getAuth, Squid uses a global buffer to store the decoded data,” says MITRE’s description of the vulnerability. “Squid does not check that the decoded length isn’t greater than the buffer, leading to a heap-based buffer overflow with user controlled data.”
The flaw was patched by the web proxy’s development team with the release of Squid 4.8 on July 9.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Read my blog posting guidelines here.
There was a DefCon talk by someone with the vanity plate “NULL.” The California system assigned him every ticket with no license plate: $12,000.
Although the initial $12,000-worth of fines were removed, the private company that administers the database didn’t fix the issue and new NULL tickets are still showing up.
The unanswered question is: now that he has a way to get parking fines removed, can he park anywhere for free?
And this isn’t the first time this sort of thing has happened. Wired has a roundup of people whose license places read things like “NOPLATE,” “NO TAG,” and “XXXXXXX.”
At the Defcon hacker conference today, security researcher Truman Kain debuted what he calls the Surveillance Detection Scout. The DIY computer fits into the middle console of a Tesla Model S or Model 3, plugs into its dashboard USB port, and turns the car’s built-in cameras — the same dash and rearview cameras providing a 360-degree view used for Tesla’s Autopilot and Sentry features — into a system that spots, tracks, and stores license plates and faces over time. The tool uses open source image recognition software to automatically put an alert on the Tesla’s display and the user’s phone if it repeatedly sees the same license plate. When the car is parked, it can track nearby faces to see which ones repeatedly appear. Kain says the intent is to offer a warning that someone might be preparing to steal the car, tamper with it, or break into the driver’s nearby home.
There’s no indication that this vulnerability was ever used in the wild, but the code it was discovered in — Microsoft’s Text Services Framework — has been around since Windows XP.
Excellent op-ed on the growing trend to tie humanitarian aid to surveillance.
Despite the best intentions, the decision to deploy technology like biometrics is built on a number of unproven assumptions, such as, technology solutions can fix deeply embedded political problems. And that auditing for fraud requires entire populations to be tracked using their personal data. And that experimental technologies will work as planned in a chaotic conflict setting. And last, that the ethics of consent don’t apply for people who are starving.
Influence operations are elusive to define. The Rand Corp.’s definition is as good as any: “the collection of tactical information about an adversary as well as the dissemination of propaganda in pursuit of a competitive advantage over an opponent.” Basically, we know it when we see it, from bots controlled by the Russian Internet Research Agency to Saudi attempts to plant fake stories and manipulate political debate. These operations have been run by Iran against the United States, Russia against Ukraine, China against Taiwan, and probably lots more besides.
Since the 2016 US presidential election, there have been an endless series of ideas about how countries can defend themselves. It’s time to pull those together into a comprehensive approach to defending the public sphere and the institutions of democracy.
Influence operations don’t come out of nowhere. They exploit a series of predictable weaknesses — and fixing those holes should be the first step in fighting them. In cybersecurity, this is known as a “kill chain.” That can work in fighting influence operations, too — laying out the steps of an attack and building the taxonomy of countermeasures.
In an exploratory blog post, I first laid out a straw man information operations kill chain. I started with the seven commandments, or steps, laid out in a 2018 New York Times opinion video series on “Operation Infektion,” a 1980s Russian disinformation campaign. The information landscape has changed since the 1980s, and these operations have changed as well. Based on my own research and feedback from that initial attempt, I have modified those steps to bring them into the present day. I have also changed the name from “information operations” to “influence operations,” because the former is traditionally defined by the US Department of Defense in ways that don’t really suit these sorts of attacks.
Step 1: Find the cracks in the fabric of society — the social, demographic, economic, and ethnic divisions. For campaigns that just try to weaken collective trust in government’s institutions, lots of cracks will do. But for influence operations that are more directly focused on a particular policy outcome, only those related to that issue will be effective.
Countermeasures: There will always be open disagreements in a democratic society, but one defense is to shore up the institutions that make that society possible. Elsewhere I have written about the “common political knowledge” necessary for democracies to function. That shared knowledge has to be strengthened, thereby making it harder to exploit the inevitable cracks. It needs to be made unacceptable — or at least costly — for domestic actors to use these same disinformation techniques in their own rhetoric and political maneuvering, and to highlight and encourage cooperation when politicians honestly work across party lines. The public must learn to become reflexively suspicious of information that makes them angry at fellow citizens. These cracks can’t be entirely sealed, as they emerge from the diversity that makes democracies strong, but they can be made harder to exploit. Much of the work in “norms” falls here, although this is essentially an unfixable problem. This makes the countermeasures in the later steps even more important.
Step 2: Build audiences, either by directly controlling a platform (like RT) or by cultivating relationships with people who will be receptive to those narratives. In 2016, this consisted of creating social media accounts run either by human operatives or automatically by bots, making them seem legitimate, gathering followers. In the years following, this has gotten subtler. As social media companies have gotten better at deleting these accounts, two separate tactics have emerged. The first is microtargeting, where influence accounts join existing social circles and only engage with a few different people. The other is influencer influencing, where these accounts only try to affect a few proxies (see step 6) — either journalists or other influencers — who can carry their message for them.
Countermeasures: This is where social media companies have made all the difference. By allowing groups of like-minded people to find and talk to each other, these companies have given propagandists the ability to find audiences who are receptive to their messages. Social media companies need to detect and delete accounts belonging to propagandists as well as bots and groups run by those propagandists. Troll farms exhibit particular behaviors that the platforms need to be able to recognize. It would be best to delete accounts early, before those accounts have the time to establish themselves.
This might involve normally competitive companies working together, since operations and account names often cross platforms, and cross-platform visibility is an important tool for identifying them. Taking down accounts as early as possible is important, because it takes time to establish the legitimacy and reach of any one account. The NSA and US Cyber Command worked with the FBI and social media companies to take down Russian propaganda accounts during the 2018 midterm elections. It may be necessary to pass laws requiring Internet companies to do this. While many social networking companies have reversed their “we don’t care” attitudes since the 2016 election, there’s no guarantee that they will continue to remove these accounts — especially since their profits depend on engagement and not accuracy.
Step 3: Seed distortion by creating alternative narratives. In the 1980s, this was a single “big lie,” but today it is more about many contradictory alternative truths — a “firehose of falsehood” — that distort the political debate. These can be fake or heavily slanted news stories, extremist blog posts, fake stories on real-looking websites, deepfake videos, and so on.
Countermeasures: Fake news and propaganda are viruses; they spread through otherwise healthy populations. Fake news has to be identified and labeled as such by social media companies and others, including recognizing and identifying manipulated videos known as deepfakes. Facebook is already making moves in this direction. Educators need to teach better digital literacy, as Finland is doing. All of this will help people recognize propaganda campaigns when they occur, so they can inoculate themselves against their effects. This alone cannot solve the problem, as much sharing of fake news is about social signaling, and those who share it care more about how it demonstrates their core beliefs than whether or not it is true. Still, it is part of the solution.
Step 4: Wrap those narratives in kernels of truth. A core of fact makes falsehoods more believable and helps them spread. Releasing stolen emails from Hillary Clinton’s campaign chairman John Podesta and the Democratic National Committee, or documents from Emmanuel Macron’s campaign in France, were both an example of that kernel of truth. Releasing stolen emails with a few deliberate falsehoods embedded among them is an even more effective tactic.
Countermeasures: Defenses involve exposing the untruths and distortions, but this is also complicated to put into practice. Fake news sows confusion just by being there. Psychologists have demonstrated that an inadvertent effect of debunking a piece of fake news is to amplify the message of that debunked story. Hence, it is essential to replace the fake news with accurate narratives that counter the propaganda. That kernel of truth is part of a larger true narrative. The media needs to learn skepticism about the chain of information and to exercise caution in how they approach debunked stories.
Step 5: Conceal your hand. Make it seem as if the stories came from somewhere else.
Countermeasures: Here the answer is attribution, attribution, attribution. The quicker an influence operation can be pinned on an attacker, the easier it is to defend against it. This will require efforts by both the social media platforms and the intelligence community, not just to detect influence operations and expose them but also to be able to attribute attacks. Social media companies need to be more transparent about how their algorithms work and make source publications more obvious for online articles. Even small measures like the Honest Ads Act, requiring transparency in online political ads, will help. Where companies lack business incentives to do this, regulation will be the only answer.
Step 6: Cultivate proxies who believe and amplify the narratives. Traditionally, these people have been called “useful idiots.” Encourage them to take action outside of the Internet, like holding political rallies, and to adopt positions even more extreme than they would otherwise.
Countermeasures: We can mitigate the influence of people who disseminate harmful information, even if they are unaware they are amplifying deliberate propaganda. This does not mean that the government needs to regulate speech; corporate platforms already employ a variety of systems to amplify and diminish particular speakers and messages. Additionally, the antidote to the ignorant people who repeat and amplify propaganda messages is other influencers who respond with the truth — in the words of one report, we must “make the truth louder.” Of course, there will always be true believers for whom no amount of fact-checking or counter-speech will suffice; this is not intended for them. Focus instead on persuading the persuadable.
Step 7: Deny involvement in the propaganda campaign, even if the truth is obvious. Although since one major goal is to convince people that nothing can be trusted, rumors of involvement can be beneficial. The first was Russia’s tactic during the 2016 US presidential election; it employed the second during the 2018 midterm elections.
Countermeasures: When attack attribution relies on secret evidence, it is easy for the attacker to deny involvement. Public attribution of information attacks must be accompanied by convincing evidence. This will be difficult when attribution involves classified intelligence information, but there is no alternative. Trusting the government without evidence, as the NSA’s Rob Joyce recommended in a 2016 talk, is not enough. Governments will have to disclose.
Step 8: Play the long game. Strive for long-term impact over immediate effects. Engage in multiple operations; most won’t be successful, but some will.
Countermeasures: Counterattacks can disrupt the attacker’s ability to maintain influence operations, as US Cyber Command did during the 2018 midterm elections. The NSA’s new policy of “persistent engagement” (see the article by, and interview with, US Cyber Command Commander Paul Nakasone here) is a strategy to achieve this. So are targeted sanctions and indicting individuals involved in these operations. While there is little hope of bringing them to the United States to stand trial, the possibility of not being able to travel internationally for fear of being arrested will lead some people to refuse to do this kind of work. More generally, we need to better encourage both politicians and social media companies to think beyond the next election cycle or quarterly earnings report.
Permeating all of this is the importance of deterrence. Deterring them will require a different theory. It will require, as the political scientist Henry Farrell and I have postulated, thinking of democracy itself as an information system and understanding “Democracy’s Dilemma“: how the very tools of a free and open society can be subverted to attack that society. We need to adjust our theories of deterrence to the realities of the information age and the democratization of attackers. If we can mitigate the effectiveness of influence operations, if we can publicly attribute, if we can respond either diplomatically or otherwise — we can deter these attacks from nation-states.
None of these defensive actions is sufficient on its own. Steps overlap and in some cases can be skipped. Steps can be conducted simultaneously or out of order. A single operation can span multiple targets or be an amalgamation of multiple attacks by multiple actors. Unlike a cyberattack, disrupting will require more than disrupting any particular step. It will require a coordinated effort between government, Internet platforms, the media, and others.
Also, this model is not static, of course. Influence operations have already evolved since the 2016 election and will continue to evolve over time — especially as countermeasures are deployed and attackers figure out how to evade them. We need to be prepared for wholly different kinds of influencer operations during the 2020 US presidential election. The goal of this kill chain is to be general enough to encompass a panoply of tactics but specific enough to illuminate countermeasures. But even if this particular model doesn’t fit every influence operation, it’s important to start somewhere.
Others have worked on similar ideas. Anthony Soules, a former NSA employee who now leads cybersecurity strategy for Amgen, presented this concept at a private event. Clint Watts of the Alliance for Securing Democracy is thinking along these lines as well. The Credibility Coalition’s Misinfosec Working Group proposed a “misinformation pyramid.” The US Justice Department developed a “Malign Foreign Influence Campaign Cycle,” with associated countermeasures.
The threat from influence operations is real and important, and it deserves more study. At the same time, there’s no reason to panic. Just as overly optimistic technologists were wrong that the Internet was the single technology that was going to overthrow dictators and liberate the planet, so pessimists are also probably wrong that it is going to empower dictators and destroy democracy. If we deploy countermeasures across the entire kill chain, we can defend ourselves from these attacks.
But Russian interference in the 2016 presidential election shows not just that such actions are possible but also that they’re surprisingly inexpensive to run. As these tactics continue to be democratized, more people will attempt them. And as more people, and multiple parties, conduct influence operations, they will increasingly be seen as how the game of politics is played in the information age. This means that the line will increasingly blur between influence operations and politics as usual, and that domestic influencers will be using them as part of campaigning. Defending democracy against foreign influence also necessitates making our own political debate healthier.
This essay previously appeared in Foreign Policy.
The squid robot is powered primarily by compressed air, which it stores in a cylinder in its nose (do squids have noses?). The fins and arms are controlled by pneumatic actuators. When the robot wants to move through the water, it opens a value to release a modest amount of compressed air; releasing the air all at once generates enough thrust to fire the robot squid completely out of the water.
The jumping that you see at the end of the video is preliminary work; we’re told that the robot squid can travel between 10 and 20 meters by jumping, whereas using its jet underwater will take it just 10 meters. At the moment, the squid can only fire its jet once, but the researchers plan to replace the compressed air with something a bit denser, like liquid CO2, which will allow for extended operation and multiple jumps. There’s also plenty of work to do with using the fins for dynamic control, which the researchers say will “reveal the superiority of the natural flying squid movement.”
I can’t find the paper online.
Read my blog posting guidelines here.
Boeing left its software unprotected, and researchers have analyzed it for vulnerabilities:
At the Black Hat security conference today in Las Vegas, Santamarta, a researcher for security firm IOActive, plans to present his findings, including the details of multiple serious security flaws in the code for a component of the 787 known as a Crew Information Service/Maintenance System. The CIS/MS is responsible for applications like maintenance systems and the so-called electronic flight bag, a collection of navigation documents and manuals used by pilots. Santamarta says he found a slew of memory corruption vulnerabilities in that CIS/MS, and he claims that a hacker could use those flaws as a foothold inside a restricted part of a plane’s network. An attacker could potentially pivot, Santamarta says, from the in-flight entertainment system to the CIS/MS to send commands to far more sensitive components that control the plane’s safety-critical systems, including its engine, brakes, and sensors. Boeing maintains that other security barriers in the 787’s network architecture would make that progression impossible.
Santamarta admits that he doesn’t have enough visibility into the 787’s internals to know if those security barriers are circumventable. But he says his research nonetheless represents a significant step toward showing the possibility of an actual plane-hacking technique. “We don’t have a 787 to test, so we can’t assess the impact,” Santamarta says. “We’re not saying it’s doomsday, or that we can take a plane down. But we can say: This shouldn’t happen.”
Boeing denies that there’s any problem:
In a statement, Boeing said it had investigated IOActive’s claims and concluded that they don’t represent any real threat of a cyberattack. “IOActive’s scenarios cannot affect any critical or essential airplane system and do not describe a way for remote attackers to access important 787 systems like the avionics system,” the company’s statement reads. “IOActive reviewed only one part of the 787 network using rudimentary tools, and had no access to the larger system or working environments. IOActive chose to ignore our verified results and limitations in its research, and instead made provocative statements as if they had access to and analyzed the working system. While we appreciate responsible engagement from independent cybersecurity researchers, we’re disappointed in IOActive’s irresponsible presentation.”
This being Black Hat and Las Vegas, I’ll say it this way: I would bet money that Boeing is wrong. I don’t have an opinion about whether or not it’s lying.
Apple’s FaceID has a liveness detection feature, which prevents someone from unlocking a victim’s phone by putting it in front of his face while he’s sleeping. That feature has been hacked:
Researchers on Wednesday during Black Hat USA 2019 demonstrated an attack that allowed them to bypass a victim’s FaceID and log into their phone simply by putting a pair of modified glasses on their face. By merely placing tape carefully over the lenses of a pair glasses and placing them on the victim’s face the researchers demonstrated how they could bypass Apple’s FaceID in a specific scenario. The attack itself is difficult, given the bad actor would need to figure out how to put the glasses on an unconscious victim without waking them up.
Last month, Attorney General William Barr gave a major speech on encryption policywhat is commonly known as “going dark.” Speaking at Fordham University in New York, he admitted that adding backdoors decreases security but that it is worth it.
Some hold this view dogmatically, claiming that it is technologically impossible to provide lawful access without weakening security against unlawful access. But, in the world of cybersecurity, we do not deal in absolute guarantees but in relative risks. All systems fall short of optimality and have some residual risk of vulnerability — a point which the tech community acknowledges when they propose that law enforcement can satisfy its requirements by exploiting vulnerabilities in their products. The real question is whether the residual risk of vulnerability resulting from incorporating a lawful access mechanism is materially greater than those already in the unmodified product. The Department does not believe this can be demonstrated.
Moreover, even if there was, in theory, a slight risk differential, its significance should not be judged solely by the extent to which it falls short of theoretical optimality. Particularly with respect to encryption marketed to consumers, the significance of the risk should be assessed based on its practical effect on consumer cybersecurity, as well as its relation to the net risks that offering the product poses for society. After all, we are not talking about protecting the Nation’s nuclear launch codes. Nor are we necessarily talking about the customized encryption used by large business enterprises to protect their operations. We are talking about consumer products and services such as messaging, smart phones, e-mail, and voice and data applications. If one already has an effective level of security say, by way of illustration, one that protects against 99 percent of foreseeable threats — is it reasonable to incur massive further costs to move slightly closer to optimality and attain a 99.5 percent level of protection? A company would not make that expenditure; nor should society. Here, some argue that, to achieve at best a slight incremental improvement in security, it is worth imposing a massive cost on society in the form of degraded safety. This is untenable. If the choice is between a world where we can achieve a 99 percent assurance against cyber threats to consumers, while still providing law enforcement 80 percent of the access it might seek; or a world, on the other hand, where we have boosted our cybersecurity to 99.5 percent but at a cost reducing law enforcements [sic] access to zero percent the choice for society is clear.
I think this is a major change in government position. Previously, the FBI, the Justice Department and so on had claimed that backdoors for law enforcement could be added without any loss of security. They maintained that technologists just need to figure out how — an approach we have derisively named “nerd harder.”
With this change, we can finally have a sensible policy conversation. Yes, adding a backdoor increases our collective security because it allows law enforcement to eavesdrop on the bad guys. But adding that backdoor also decreases our collective security because the bad guys can eavesdrop on everyone. This is exactly the policy debate we should be having — not the fake one about whether or not we can have both security and surveillance.
Barr makes the point that this is about “consumer cybersecurity” and not “nuclear launch codes.” This is true, but it ignores the huge amount of national security-related communications between those two poles. The same consumer communications and computing devices are used by our lawmakers, CEOs, legislators, law enforcement officers, nuclear power plant operators, election officials and so on. There’s no longer a difference between consumer tech and government tech — it’s all the same tech.
Barr also says:
Further, the burden is not as onerous as some make it out to be. I served for many years as the general counsel of a large telecommunications concern. During my tenure, we dealt with these issues and lived through the passage and implementation of CALEA the Communications Assistance for Law Enforcement Act. CALEA imposes a statutory duty on telecommunications carriers to maintain the capability to provide lawful access to communications over their facilities. Companies bear the cost of compliance but have some flexibility in how they achieve it, and the system has by and large worked. I therefore reserve a heavy dose of skepticism for those who claim that maintaining a mechanism for lawful access would impose an unreasonable burden on tech firms especially the big ones. It is absurd to think that we would preserve lawful access by mandating that physical telecommunications facilities be accessible to law enforcement for the purpose of obtaining content, while allowing tech providers to block law enforcement from obtaining that very content.
That telecommunications company was GTE — which became Verizon. Barr conveniently ignores that CALEA-enabled phone switches were used to spy on government officials in Greece in 2003 — which seems to have been a National Security Agency operation — and on a variety of people in Italy in 2006. Moreover, in 2012 every CALEA-enabled switch sold to the Defense Department had security vulnerabilities. (I wrote about all this, and more, in 2013.)
The final thing I noticed about the speech is that it is not about iPhones and data at rest. It is about communications — data in transit. The “going dark” debate has bounced back and forth between those two aspects for decades. It seems to be bouncing once again.
I hope that Barr’s latest speech signals that we can finally move on from the fake security vs. privacy debate, and to the real security vs. security debate. I know where I stand on that: As computers continue to permeate every aspect of our lives, society, and critical infrastructure, it is much more important to ensure that they are secure from everybody — even at the cost of law enforcement access — than it is to allow access at the cost of security. Barr is wrong, it kind of is like these systems are protecting nuclear launch codes.
This essay previously appeared on Lawfare.com.
A researcher abused the GDPR to get information on his fiancee:
It is one of the first tests of its kind to exploit the EU’s General Data Protection Regulation (GDPR), which came into force in May 2018. The law shortened the time organisations had to respond to data requests, added new types of information they have to provide, and increased the potential penalty for non-compliance.
“Generally if it was an extremely large company — especially tech ones — they tended to do really well,” he told the BBC.
“Small companies tended to ignore me.
“But the kind of mid-sized businesses that knew about GDPR, but maybe didn’t have much of a specialised process [to handle requests], failed.”
He declined to identify the organisations that had mishandled the requests, but said they had included:
- a UK hotel chain that shared a complete record of his partner’s overnight stays
- two UK rail companies that provided records of all the journeys she had taken with them over several years
- a US-based educational company that handed over her high school grades, mother’s maiden name and the results of a criminal background check survey.
Interesting analysis: “Examining the Anomalies, Explaining the Value: Should the USA FREEDOM Act’s Metadata Program be Extended?” by Susan Landau and Asaf Lubin.
Abstract: The telephony metadata program which was authorized under Section 215 of the PATRIOT Act, remains one of the most controversial programs launched by the U.S. Intelligence Community (IC) in the wake of the 9/11 attacks. Under the program major U.S. carriers were ordered to provide NSA with daily Call Detail Records (CDRs) for all communications to, from, or within the United States. The Snowden disclosures and the public controversy that followed led Congress in 2015 to end bulk collection and amend the CDR authorities with the adoption of the USA FREEDOM Act (UFA).
For a time, the new program seemed to be functioning well. Nonetheless, three issues emerged around the program. The first concern was over high numbers: in both 2016 and 2017, the Foreign Intelligence Surveillance Court issued 40 orders for collection, but the NSA collected hundreds of millions of CDRs, and the agency provided little clarification for the high numbers. The second emerged in June 2018 when the NSA announced the purging of three years’ worth of CDR records for “technical irregularities.” Finally, in March 2019 it was reported that the NSA had decided to completely abandon the program and not seek its renewal as it is due to sunset in late 2019.
This paper sheds significant light on all three of these concerns. First, we carefully analyze the numbers, showing how forty orders might lead to the collection of several million CDRs, thus offering a model to assist in understanding Intelligence Community transparency reporting across its surveillance programs. Second, we show how the architecture of modern telephone communications might cause collection errors that fit the reported reasons for the 2018 purge. Finally, we show how changes in the terrorist threat environment as well as in the technology and communication methods they employ in particular the deployment of asynchronous encrypted IP-based communications has made the telephony metadata program far less beneficial over time. We further provide policy recommendations for Congress to increase effective intelligence oversight.
Great video of the Sinuous Asperoteuthis Mangoldae Squid.
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Electron is a cross-platform development system for many popular communications apps, including Skype, Slack, and WhatsApp. Security vulnerabilities in the update system allows someone to silently inject malicious code into applications. From a news article:
While making these changes required administrator access on Linux and MacOS, it only requires local access on Windows. Those modifications can create new event-based “features” that can access the file system, activate a Web cam, and exfiltrate information from systems using the functionality of trusted applications — including user credentials and sensitive data. In his demonstration, Tsakalidis showed a backdoored version of Microsoft Visual Studio Code that sent the contents of every code tab opened to a remote website.
Basically, the Electron ASAR files aren’t signed or encrypted, so modifying them is easy.
Note that this attack requires local access to the computer, which means that an attacker that could do this could do much more damaging things as well. But once an app has been modified, it can be distributed to other users. It’s not a big deal attack, but it’s a vulnerability that should be closed.
This wasn’t a small operation:
A Pakistani man bribed AT&T call-center employees to install malware and unauthorized hardware as part of a scheme to fraudulently unlock cell phones, according to the US Department of Justice. Muhammad Fahd, 34, was extradited from Hong Kong to the US on Friday and is being detained pending trial.
An indictment alleges that “Fahd recruited and paid AT&T insiders to use their computer credentials and access to disable AT&T’s proprietary locking software that prevented ineligible phones from being removed from AT&T’s network,” a DOJ announcement yesterday said. “The scheme resulted in millions of phones being removed from AT&T service and/or payment plans, costing the company millions of dollars. Fahd allegedly paid the insiders hundreds of thousands of dollars — paying one co-conspirator $428,500 over the five-year scheme.”
In all, AT&T insiders received more than $1 million in bribes from Fahd and his co-conspirators, who fraudulently unlocked more than 2 million cell phones, the government alleged. Three former AT&T customer service reps from a call center in Bothell, Washington, already pleaded guilty and agreed to pay the money back to AT&T.
I know there’s a lot of politics associated with this story, but concentrate on the cybersecurity aspect for a moment. The cell phones of a thousand Brazilians, including senior government officials, were hacked — seemingly by actors much less sophisticated than rival governments.
Brazil’s federal police arrested four people for allegedly hacking 1,000 cellphones belonging to various government officials, including that of President Jair Bolsonaro.
Police detective João Vianey Xavier Filho said the group hacked into the messaging apps of around 1,000 different cellphone numbers, but provided little additional information at a news conference in Brasilia on Wednesday. Cellphones used by Bolsonaro were among those attacked by the group, the justice ministry said in a statement on Thursday, adding that the president was informed of the security breach.
In the court order determining the arrest of the four suspects, Judge Vallisney de Souza Oliveira wrote that the hackers had accessed Moro’s Telegram messaging app, along with those of two judges and two federal police officers.
When I say that smartphone security equals national security, this is the kind of thing I am talking about.
Interesting article on people using banks of smartphones to commit ad fraud for profit.
No one knows how prevalent ad fraud is on the Internet. I believe it is surprisingly high — here’s an article that places losses between $6.5 and $19 billion annually — and something companies like Google and Facebook would prefer remain unresearched.
Siena Anstis, Ronald J. Deibert, and John Scott-Railton of Citizen Lab published an editorial calling for regulating the international trade in commercial surveillance systems until we can figure out how to curb human rights abuses.
Any regime of rigorous human rights safeguards that would make a meaningful change to this marketplace would require many elements, for instance, compliance with the U.N. Guiding Principles on Business and Human Rights. Corporate tokenism in this space is unacceptable; companies will have to affirmatively choose human rights concerns over growing profits and hiding behind the veneer of national security. Considering the lies that have emerged from within the surveillance industry, self-reported compliance is insufficient; compliance will have to be independently audited and verified and accept robust measures of outside scrutiny.
The purchase of surveillance technology by law enforcement in any state must be transparent and subject to public debate. Further, its use must comply with frameworks setting out the lawful scope of interference with fundamental rights under international human rights law and applicable national laws, such as the “Necessary and Proportionate” principles on the application of human rights to surveillance. Spyware companies like NSO Group have relied on rubber stamp approvals by government agencies whose permission is required to export their technologies abroad. To prevent abuse, export control systems must instead prioritize a reform agenda that focuses on minimizing the negative human rights impacts of surveillance technology and that ensures — with clear and immediate consequences for those who fail — that companies operate in an accountable and transparent environment.
Finally, and critically, states must fulfill their duty to protect individuals against third-party interference with their fundamental rights. With the growth of digital authoritarianism and the alarming consequences that it may hold for the protection of civil liberties around the world, rights-respecting countries need to establish legal regimes that hold companies and states accountable for the deployment of surveillance technology within their borders. Law enforcement and other organizations that seek to protect refugees or other vulnerable persons coming from abroad will also need to take digital threats seriously.
Yesterday, I blogged about a Facebook plan to backdoor WhatsApp by adding client-side scanning and filtering. It seems that I was wrong, and there are no such plans.
Leetaru extrapolated a lot out of very little. I watched the video (the relevant section is at the 23:00 mark), and it doesn’t talk about client-side scanning of messages. It doesn’t talk about messaging apps at all. It discusses using AI techniques to find bad content on Facebook, and the difficulties that arise from dynamic content:
So far, we have been keeping this fight [against bad actors and harmful content] on familiar grounds. And that is, we have been training our AI models on the server and making inferences on the server when all the data are flooding into our data centers.
While this works for most scenarios, it is not the ideal setup for some unique integrity challenges. URL masking is one such problem which is very hard to do. We have the traditional way of server-side inference. What is URL masking? Let us imagine that a user sees a link on the app and decides to click on it. When they click on it, Facebook actually logs the URL to crawl it at a later date. But…the publisher can dynamically change the content of the webpage to make it look more legitimate [to Facebook]. But then our users click on the same link, they see something completely different — oftentimes it is disturbing; oftentimes it violates our policy standards. Of course, this creates a bad experience for our community that we would like to avoid. This and similar integrity problems are best solved with AI on the device.
That might be true, but it also would hand whatever secret-AI sauce Facebook has to every one of its users to reverse engineer — which means it’s probably not going to happen. And it is a dumb idea, for reasons Steve Bellovin has pointed out.
Facebook’s first published response was a comment on the Hacker News website from a user named “wcathcart,” which Cardozo assures me is Will Cathcart, the vice president of WhatsApp. (I have no reason to doubt his identity, but surely there is a more official news channel that Facebook could have chosen to use if they wanted to.) Cathcart wrote:
We haven’t added a backdoor to WhatsApp. The Forbes contributor referred to a technical talk about client side AI in general to conclude that we might do client side scanning of content on WhatsApp for anti-abuse purposes.
To be crystal clear, we have not done this, have zero plans to do so, and if we ever did it would be quite obvious and detectable that we had done it. We understand the serious concerns this type of approach would raise which is why we are opposed to it.
Facebook’s second published response was a comment on my original blog post, which has been confirmed to me by the WhatsApp people as authentic. It’s more of the same.
So, this was a false alarm. And, to be fair, Alec Muffet called foul on the first Forbes piece:
So, here’s my pre-emptive finger wag: Civil Society’s pack mentality can make us our own worst enemies. If we go around repeating one man’s Germanic conspiracy theory, we may doom ourselves to precisely what we fear. Instead, we should we must take steps to constructively demand what we actually want: End to End Encryption which is worthy of the name.
Blame accepted. But in general, this is the sort of thing we need to watch for. End-to-end encryption only secures data in transit. The data has to be in the clear on the device where it is created, and it has to be in the clear on the device where it is consumed. Those are the obvious places for an eavesdropper to get a copy.
Final note: If they want to be trusted, Adam Shostack and I gave them a road map.
Hacker News thread.
EDITED TO ADD (8/4): Slashdot covered my retraction.
EDITED TO ADD (8/14): LIDAR from self-driving cars has damaged security cameras before.
Rebecca Wexler has an interesting op-ed about an inadvertent harm that privacy laws can cause: while law enforcement can often access third-party data to aid in prosecution, the accused don’t have the same level of access to aid in their defense:
The proposed privacy laws would make this situation worse. Lawmakers may not have set out to make the criminal process even more unfair, but the unjust result is not surprising. When lawmakers propose privacy bills to protect sensitive information, law enforcement agencies lobby for exceptions so they can continue to access the information. Few lobby for the accused to have similar rights. Just as the privacy interests of poor, minority and heavily policed communities are often ignored in the lawmaking process, so too are the interests of criminal defendants, many from those same communities.
In criminal cases, both the prosecution and the accused have a right to subpoena evidence so that juries can hear both sides of the case. The new privacy bills need to ensure that law enforcement and defense investigators operate under the same rules when they subpoena digital data. If lawmakers believe otherwise, they should have to explain and justify that view.
For more detail, see her paper.
This article points out that Facebook’s planned content moderation scheme will result in an encryption backdoor into WhatsApp:
In Facebook’s vision, the actual end-to-end encryption client itself such as WhatsApp will include embedded content moderation and blacklist filtering algorithms. These algorithms will be continually updated from a central cloud service, but will run locally on the user’s device, scanning each cleartext message before it is sent and each encrypted message after it is decrypted.
The company even noted that when it detects violations it will need to quietly stream a copy of the formerly encrypted content back to its central servers to analyze further, even if the user objects, acting as true wiretapping service.
Facebook’s model entirely bypasses the encryption debate by globalizing the current practice of compromising devices by building those encryption bypasses directly into the communications clients themselves and deploying what amounts to machine-based wiretaps to billions of users at once.
Once this is in place, it’s easy for the government to demand that Facebook add another filter — one that searches for communications that they care about — and alert them when it gets triggered.
Of course alternatives like Signal will exist for those who don’t want to be subject to Facebook’s content moderation, but what happens when this filtering technology is built into operating systems?
The problem is that if Facebook’s model succeeds, it will only be a matter of time before device manufacturers and mobile operating system developers embed similar tools directly into devices themselves, making them impossible to escape. Embedding content scanning tools directly into phones would make it possible to scan all apps, including ones like Signal, effectively ending the era of encrypted communications.
I don’t think this will happen — why does AT&T care about content moderation — but it is something to watch?
EDITED TO ADD (8/2): This story is wrong. Read my correction.
Sidebar photo of Bruce Schneier by Joe MacInnis.