Page 2

Using Hacked LastPass Keys to Steal Cryptocurrency

Remember last November, when hackers broke into the network for LastPass—a password database—and stole password vaults with both encrypted and plaintext data for over 25 million users?

Well, they’re now using that data break into crypto wallets and drain them: $35 million and counting, all going into a single wallet.

That’s a really profitable hack. (It’s also bad opsec. The hackers need to move and launder all that money quickly.)

Look, I know that online password databases are more convenient. But they’re also risky. This is why my Password Safe is local only. (I know this sounds like a commercial, but Password Safe is not a commercial product.)

Tags: , , ,

Posted on September 18, 2023 at 7:02 AM • View Comments

LLM Summary of My Book Beyond Fear

Claude (Anthropic’s LLM) was given this prompt: Please summarize the themes and arguments of Bruce Schneier’s book Beyond Fear. I’m particularly interested in a taxonomy of his ethical arguments—please expand on that. Then lay out the most salient criticisms of the book.

Claude’s reply:

Here’s a brief summary of the key themes and arguments made in security expert Bruce Schneier’s book Beyond Fear: Thinking Sensibly About Security in an Uncertain World:

Central Themes:

  • Effective security requires realistic risk assessment, not fear-driven responses. We need to rationally determine actual threats versus perceived ones.
  • Security trade-offs need to be carefully balanced against costs to other values like privacy, freedom, and social/economic impacts.
  • Human psychology and biases lead to exaggerated fears that politicians/marketers can exploit, resulting in wasteful and theatrical “security theater.”
  • Security is a process that requires ongoing flexibility, not total prevention. We can’t anticipate every threat but can build resilience.

Key Arguments:

    Analyze risks empirically using evidence, statistics, and probability rather than intuition. Avoid underestimating everyday risks while overestimating novel or sensational ones.

  • Reject the temptation to implement oppressive security restrictions after tragic but unlikely events. Focus only on proportional responses.
  • Where possible, favor openness and transparency over aggressive data collection or restrictions which erode civil liberties.
  • Seek security policies and technologies that enhance society broadly rather than benefit special interests.

Schneier argues for rational, ethical approaches to security aimed at genuine protection while avoiding violations of human rights in the name of safety.

Here are some of the key ethical arguments Bruce Schneier makes in Beyond Fear regarding security policy and practices:

  • Utilitarian Ethics – Security measures should aim to provide the greatest societal benefit and well-being for the most people, not just special interests.
  • Individual Autonomy – Restrictions should be minimized to avoid excessive infringements on civil liberties and individual freedoms. Surveillance creep risks violating autonomy.
  • Privacy Rights – Pervasive monitoring and data collection erode privacy rights and dignity. Citizens are entitled to some degree of opacity.
  • Proportional Responses – Reactive policies should weigh costs versus statistically likely benefits. Draconian rules beyond proportionality are unethical.
  • Justice and Fairness – Security should not create racial, religious or other profiling biases that punish groups rather than conduct.
  • Accountability and Transparency – Ethical security requires checks against excessive power and oversight for responsibility. Secrecy enables abuses.
  • Honest Representation – Officials and pundits have an ethical duty not to stoke disproportionate public fears. Security theater manufactures consent.
  • Integrity and Character – Leaders should have the wisdom and courage to make difficult trade-offs rather than exploit fears for authority and control.

Overall Schneier argues security policies grounded in ethics rather than fear promote human well-being while recognizing inherent trade-offs. Prudence, transparency, and proportionality are essential.

Here are some of the most salient criticisms made against the arguments put forth in Bruce Schneier’s book Beyond Fear:

  • Downplays real threats – Some argue Schneier dangerously downplays serious risks like terrorism and cybercrime by calling fears overblown.
  • Too theoretical – His risk analysis approach may rely too much on statistics versus real-world uncertainties that defy probabilistic reasoning.
  • No easy answers – While citing misguided policies, critics say Schneier provides few actionable solutions or concrete policy guidance.
  • Conflicting values – His balancing of security, privacy and liberty involves inherent trade-offs and tough choices he gives little direction on.
  • Politically naive – Suggesting special interests drive policy may under-appreciate legitimate national security concerns of elected officials.
  • Hindsight bias – Assessing past overreactions easier than predicting future threats that justify caution today.
  • No accounting for psychology – Factoring human irrationality into policy is essential, not dismissed as “security theater.”
  • Technical focus – Focuses narrowly on certain technologies while ignoring broader organizational and sociological dimensions.

In summary, critics argue Schneier’s risk analysis orientation is too clinical, abstract, and devoid of political and human realities to transform concrete policy in the ways he intends. His framework may therefore lack sufficient nuance or guidance.

It’s interesting. The summary is pretty accurate, and so are the criticisms. The book was a product of my thinking twenty years ago, and my own thinking has evolved to address those criticisms.

Of course, this only works with older books that the LLM has ingested, and probably works better with books that have been written about.

Tags: , , ,

Posted on September 15, 2023 at 3:12 PM • View Comments

On Technologies for Automatic Facial Recognition

Interesting article on technologies that will automatically identify people:

With technology like that on Mr. Leyvand’s head, Facebook could prevent users from ever forgetting a colleague’s name, give a reminder at a cocktail party that an acquaintance had kids to ask about or help find someone at a crowded conference. However, six years later, the company now known as Meta has not released a version of that product and Mr. Leyvand has departed for Apple to work on its Vision Pro augmented reality glasses.

The technology is here. Maybe the implementation is still dorky, but that will change. The social implications will be enormous.

Tags: , ,

Posted on September 15, 2023 at 7:15 AM • View Comments

Fake Signal and Telegram Apps in the Google Play Store

Google removed fake Signal and Telegram apps from its Play store.

An app with the name Signal Plus Messenger was available on Play for nine months and had been downloaded from Play roughly 100 times before Google took it down last April after being tipped off by security firm ESET. It was also available in the Samsung app store and on signalplus[.]org, a dedicated website mimicking the official Signal.org. An app calling itself FlyGram, meanwhile, was created by the same threat actor and was available through the same three channels. Google removed it from Play in 2021. Both apps remain available in the Samsung store.

Both apps were built on open source code available from Signal and Telegram. Interwoven into that code was an espionage tool tracked as BadBazaar. The Trojan has been linked to a China-aligned hacking group tracked as GREF. BadBazaar has been used previously to target Uyghurs and other Turkic ethnic minorities. The FlyGram malware was also shared in a Uyghur Telegram group, further aligning it to previous targeting by the BadBazaar malware family.

Signal Plus could monitor sent and received messages and contacts if people connected their infected device to their legitimate Signal number, as is normal when someone first installs Signal on their device. Doing so caused the malicious app to send a host of private information to the attacker, including the device IMEI number, phone number, MAC address, operator details, location data, Wi-Fi information, emails for Google accounts, contact list, and a PIN used to transfer texts in the event one was set up by the user.

This kind of thing is really scary.

Tags: , , , , ,

Posted on September 14, 2023 at 7:05 AM • View Comments

Zero-Click Exploit in iPhones

Make sure you update your iPhones:

Citizen Lab says two zero-days fixed by Apple today in emergency security updates were actively abused as part of a zero-click exploit chain (dubbed BLASTPASS) to deploy NSO Group’s Pegasus commercial spyware onto fully patched iPhones.

The two bugs, tracked as CVE-2023-41064 and CVE-2023-41061, allowed the attackers to infect a fully-patched iPhone running iOS 16.6 and belonging to a Washington DC-based civil society organization via PassKit attachments containing malicious images.

“We refer to the exploit chain as BLASTPASS. The exploit chain was capable of compromising iPhones running the latest version of iOS (16.6) without any interaction from the victim,” Citizen Lab said.

“The exploit involved PassKit attachments containing malicious images sent from an attacker iMessage account to the victim.”

Tags: , , , , ,

Posted on September 13, 2023 at 7:13 AM • View Comments

On Robots Killing People

The robot revolution began long ago, and so did the killing. One day in 1979, a robot at a Ford Motor Company casting plant malfunctioned—human workers determined that it was not going fast enough. And so twenty-five-year-old Robert Williams was asked to climb into a storage rack to help move things along. The one-ton robot continued to work silently, smashing into Williams’s head and instantly killing him. This was reportedly the first incident in which a robot killed a human; many more would follow.

At Kawasaki Heavy Industries in 1981, Kenji Urada died in similar circumstances. A malfunctioning robot he went to inspect killed him when he obstructed its path, according to Gabriel Hallevy in his 2013 book, When Robots Kill: Artificial Intelligence Under Criminal Law. As Hallevy puts it, the robot simply determined that “the most efficient way to eliminate the threat was to push the worker into an adjacent machine.” From 1992 to 2017, workplace robots were responsible for 41 recorded deaths in the United States—and that’s likely an underestimate, especially when you consider knock-on effects from automation, such as job loss. A robotic anti-aircraft cannon killed nine South African soldiers in 2007 when a possible software failure led the machine to swing itself wildly and fire dozens of lethal rounds in less than a second. In a 2018 trial, a medical robot was implicated in killing Stephen Pettitt during a routine operation that had occurred a few years earlier.

You get the picture. Robots—”intelligent” and not—have been killing people for decades. And the development of more advanced artificial intelligence has only increased the potential for machines to cause harm. Self-driving cars are already on American streets, and robotic "dogs" are being used by law enforcement. Computerized systems are being given the capabilities to use tools, allowing them to directly affect the physical world. Why worry about the theoretical emergence of an all-powerful, superintelligent program when more immediate problems are at our doorstep? Regulation must push companies toward safe innovation and innovation in safety. We are not there yet.

Historically, major disasters have needed to occur to spur regulation—the types of disasters we would ideally foresee and avoid in today’s AI paradigm. The 1905 Grover Shoe Factory disaster led to regulations governing the safe operation of steam boilers. At the time, companies claimed that large steam-automation machines were too complex to rush safety regulations. This, of course, led to overlooked safety flaws and escalating disasters. It wasn’t until the American Society of Mechanical Engineers demanded risk analysis and transparency that dangers from these huge tanks of boiling water, once considered mystifying, were made easily understandable. The 1911 Triangle Shirtwaist Factory fire led to regulations on sprinkler systems and emergency exits. And the preventable 1912 sinking of the Titanic resulted in new regulations on lifeboats, safety audits, and on-ship radios.

Perhaps the best analogy is the evolution of the Federal Aviation Administration. Fatalities in the first decades of aviation forced regulation, which required new developments in both law and technology. Starting with the Air Commerce Act of 1926, Congress recognized that the integration of aerospace tech into people’s lives and our economy demanded the highest scrutiny. Today, every airline crash is closely examined, motivating new technologies and procedures.

Any regulation of industrial robots stems from existing industrial regulation, which has been evolving for many decades. The Occupational Safety and Health Act of 1970 established safety standards for machinery, and the Robotic Industries Association, now merged into the Association for Advancing Automation, has been instrumental in developing and updating specific robot-safety standards since its founding in 1974. Those standards, with obscure names such as R15.06 and ISO 10218, emphasize inherent safe design, protective measures, and rigorous risk assessments for industrial robots.

But as technology continues to change, the government needs to more clearly regulate how and when robots can be used in society. Laws need to clarify who is responsible, and what the legal consequences are, when a robot’s actions result in harm. Yes, accidents happen. But the lessons of aviation and workplace safety demonstrate that accidents are preventable when they are openly discussed and subjected to proper expert scrutiny.

AI and robotics companies don’t want this to happen. OpenAI, for example, has reportedly fought to “water down” safety regulations and reduce AI-quality requirements. According to an article in Time, it lobbied European Union officials against classifying models like ChatGPT as “high risk” which would have brought “stringent legal requirements including transparency, traceability, and human oversight.” The reasoning was supposedly that OpenAI did not intend to put its products to high-risk use—a logical twist akin to the Titanic owners lobbying that the ship should not be inspected for lifeboats on the principle that it was a “general purpose” vessel that also could sail in warm waters where there were no icebergs and people could float for days. (OpenAI did not comment when asked about its stance on regulation; previously, it has said that “achieving our mission requires that we work to mitigate both current and longer-term risks,” and that it is working toward that goal by “collaborating with policymakers, researchers and users.”)

Large corporations have a tendency to develop computer technologies to self-servingly shift the burdens of their own shortcomings onto society at large, or to claim that safety regulations protecting society impose an unjust cost on corporations themselves, or that security baselines stifle innovation. We’ve heard it all before, and we should be extremely skeptical of such claims. Today’s AI-related robot deaths are no different from the robot accidents of the past. Those industrial robots malfunctioned, and human operators trying to assist were killed in unexpected ways. Since the first-known death resulting from the feature in January 2016, Tesla’s Autopilot has been implicated in more than 40 deaths according to official report estimates. Malfunctioning Teslas on Autopilot have deviated from their advertised capabilities by misreading road markings, suddenly veering into other cars or trees, crashing into well-marked service vehicles, or ignoring red lights, stop signs, and crosswalks. We’re concerned that AI-controlled robots already are moving beyond accidental killing in the name of efficiency and “deciding” to kill someone in order to achieve opaque and remotely controlled objectives.

As we move into a future where robots are becoming integral to our lives, we can’t forget that safety is a crucial part of innovation. True technological progress comes from applying comprehensive safety standards across technologies, even in the realm of the most futuristic and captivating robotic visions. By learning lessons from past fatalities, we can enhance safety protocols, rectify design flaws, and prevent further unnecessary loss of life.

For example, the UK government already sets out statements that safety matters. Lawmakers must reach further back in history to become more future-focused on what we must demand right now: modeling threats, calculating potential scenarios, enabling technical blueprints, and ensuring responsible engineering for building within parameters that protect society at large. Decades of experience have given us the empirical evidence to guide our actions toward a safer future with robots. Now we need the political will to regulate.

This essay was written with Davi Ottenheimer, and previously appeared on Atlantic.com.

Tags: , , , ,

Posted on September 11, 2023 at 7:04 AM • View Comments

← Earlier EntriesLater Entries →

Sidebar photo of Bruce Schneier by Joe MacInnis.