Entries Tagged "malware"

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Using EM Waves to Detect Malware

I don’t even know what I think about this. Researchers have developed a malware detection system that uses EM waves: “Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification.”

Abstract: The Internet of Things (IoT) is constituted of devices that are exponentially growing in number and in complexity. They use numerous customized firmware and hardware, without taking into consideration security issues, which make them a target for cybercriminals, especially malware authors.

We will present a novel approach of using side channel information to identify the kinds of threats that are targeting the device. Using our approach, a malware analyst is able to obtain precise knowledge about malware type and identity, even in the presence of obfuscation techniques which may prevent static or symbolic binary analysis. We recorded 100,000 measurement traces from an IoT device infected by various in-the-wild malware samples and realistic benign activity. Our method does not require any modification on the target device. Thus, it can be deployed independently from the resources available without any overhead. Moreover, our approach has the advantage that it can hardly be detected and evaded by the malware authors. In our experiments, we were able to predict three generic malware types (and one benign class) with an accuracy of 99.82%. Even more, our results show that we are able to classify altered malware samples with unseen obfuscation techniques during the training phase, and to determine what kind of obfuscations were applied to the binary, which makes our approach particularly useful for malware analysts.

This seems impossible. It’s research, not a commercial product. But it’s fascinating if true.

Posted on January 14, 2022 at 6:13 AM • View Comments

Faking an iPhone Reboot

Researchers have figured how how to intercept and fake an iPhone reboot:

We’ll dissect the iOS system and show how it’s possible to alter a shutdown event, tricking a user that got infected into thinking that the phone has been powered off, but in fact, it’s still running. The “NoReboot” approach simulates a real shutdown. The user cannot feel a difference between a real shutdown and a “fake shutdown.” There is no user-interface or any button feedback until the user turns the phone back “on.”

It’s a complicated hack, but it works.

Uses are obvious:

Historically, when malware infects an iOS device, it can be removed simply by restarting the device, which clears the malware from memory.

However, this technique hooks the shutdown and reboot routines to prevent them from ever happening, allowing malware to achieve persistence as the device is never actually turned off.

I see this as another manifestation of the security problems that stem from all controls becoming software controls. Back when the physical buttons actually did things—like turn the power, the Wi-Fi, or the camera on and off—you could actually know that something was on or off. Now that software controls those functions, you can never be sure.

Posted on January 12, 2022 at 6:15 AM • View Comments

Hiding Malware in ML Models

Interesting research: “EvilModel: Hiding Malware Inside of Neural Network Models.”

Abstract: Delivering malware covertly and detection-evadingly is critical to advanced malware campaigns. In this paper, we present a method that delivers malware covertly and detection-evadingly through neural network models. Neural network models are poorly explainable and have a good generalization ability. By embedding malware into the neurons, malware can be delivered covertly with minor or even no impact on the performance of neural networks. Meanwhile, since the structure of the neural network models remains unchanged, they can pass the security scan of antivirus engines. Experiments show that 36.9MB of malware can be embedded into a 178MB-AlexNet model within 1% accuracy loss, and no suspicious are raised by antivirus engines in VirusTotal, which verifies the feasibility of this method. With the widespread application of artificial intelligence, utilizing neural networks becomes a forwarding trend of malware. We hope this work could provide a referenceable scenario for the defense on neural network-assisted attacks.

News article.

Posted on July 27, 2021 at 6:25 AM • View Comments

Details of the REvil Ransomware Attack

ArsTechnica has a good story on the REvil ransomware attack of last weekend, with technical details:

This weekend’s attack was carried out with almost surgical precision. According to Cybereason, the REvil affiliates first gained access to targeted environments and then used the zero-day in the Kaseya Agent Monitor to gain administrative control over the target’s network. After writing a base-64-encoded payload to a file named agent.crt the dropper executed it.

[…]

The ransomware dropper Agent.exe is signed with a Windows-trusted certificate that uses the registrant name “PB03 TRANSPORT LTD.” By digitally signing their malware, attackers are able to suppress many security warnings that would otherwise appear when it’s being installed. Cybereason said that the certificate appears to have been used exclusively by REvil malware that was deployed during this attack.

To add stealth, the attackers used a technique called DLL Side-Loading, which places a spoofed malicious DLL file in a Windows’ WinSxS directory so that the operating system loads the spoof instead of the legitimate file. In the case here, Agent.exe drops an outdated version that is vulnerable to DLL Side-Loading of “msmpeng.exe,” which is the file for the Windows Defender executable.

Once executed, the malware changes the firewall settings to allow local windows systems to be discovered. Then, it starts to encrypt the files on the system….

REvil is demanding $70 million for a universal decryptor that will recover the data from the 1,500 affected Kaseya customers.

More news.

Note that this is yet another supply-chain attack. Instead of infecting those 1,500 networks directly, REvil infected a single managed service provider. And it leveraged a zero-day vulnerability in that provider.

EDITED TO ADD (7/13): Employees warned Kaseya’s management for years about critical security flaws, but they were ignored.

Posted on July 8, 2021 at 10:06 AM • View Comments

More Russian Hacking

Two reports this week. The first is from Microsoft, which wrote:

As part of our investigation into this ongoing activity, we also detected information-stealing malware on a machine belonging to one of our customer support agents with access to basic account information for a small number of our customers. The actor used this information in some cases to launch highly-targeted attacks as part of their broader campaign.

The second is from the NSA, CISA, FBI, and the UK’s NCSC, which wrote that the GRU is continuing to conduct brute-force password guessing attacks around the world, and is in some cases successful. From the NSA press release:

Once valid credentials were discovered, the GTsSS combined them with various publicly known vulnerabilities to gain further access into victim networks. This, along with various techniques also detailed in the advisory, allowed the actors to evade defenses and collect and exfiltrate various information in the networks, including mailboxes.

News article.

Posted on July 2, 2021 at 6:26 AM • View Comments

Mollitiam Industries is the Newest Cyberweapons Arms Manufacturer

Wired is reporting on a company called Mollitiam Industries:

Marketing materials left exposed online by a third-party claim Mollitiam’s interception products, dubbed “Invisible Man” and “Night Crawler,” are capable of remotely accessing a target’s files, location, and covertly turning on a device’s camera and microphone. Its spyware is also said to be equipped with a keylogger, which means every keystroke made on an infected device—including passwords, search queries and messages sent via encrypted messaging apps—can be tracked and monitored.

To evade detection, the malware makes use of the company’s so-called “invisible low stealth technology” and its Android product is advertised as having “low data and battery consumption” to prevent people from suspecting their phone or tablet has been infected. Mollitiam is also currently marketing a tool that it claims enables “mass surveillance of digital profiles and identities” across social media and the dark web.

Posted on June 23, 2021 at 6:01 AM • View Comments

New Disk Wiping Malware Targets Israel

Apostle seems to be a new strain of malware that destroys data.

In a post published Tuesday, SentinelOne researchers said they assessed with high confidence that based on the code and the servers Apostle reported to, the malware was being used by a newly discovered group with ties to the Iranian government. While a ransomware note the researchers recovered suggested that Apostle had been used against a critical facility in the United Arab Emirates, the primary target was Israel.

Posted on May 26, 2021 at 9:33 AM • View Comments

Double-Encrypting Ransomware

This seems to be a new tactic:

Emsisoft has identified two distinct tactics. In the first, hackers encrypt data with ransomware A and then re-encrypt that data with ransomware B. The other path involves what Emsisoft calls a “side-by-side encryption” attack, in which attacks encrypt some of an organization’s systems with ransomware A and others with ransomware B. In that case, data is only encrypted once, but a victim would need both decryption keys to unlock everything. The researchers also note that in this side-by-side scenario, attackers take steps to make the two distinct strains of ransomware look as similar as possible, so it’s more difficult for incident responders to sort out what’s going on.

Posted on May 21, 2021 at 8:50 AM • View Comments

Bizarro Banking Trojan

Bizarro is a new banking trojan that is stealing financial information and crypto wallets.

…the program can be delivered in a couple of ways­—either via malicious links contained within spam emails, or through a trojanized app. Using these sneaky methods, trojan operators will implant the malware onto a target device, where it will install a sophisticated backdoor that “contains more than 100 commands and allows the attackers to steal online banking account credentials,” the researchers write.

The backdoor has numerous commands built in to allow manipulation of a targeted individual, including keystroke loggers that allow for harvesting of personal login information. In some instances, the malware can allow criminals to commandeer a victim’s crypto wallet, too.

Research report.

Posted on May 20, 2021 at 9:13 AM • View Comments

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Sidebar photo of Bruce Schneier by Joe MacInnis.