Friday Squid Blogging: Squid Processing Facility

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This video of a modern large squid processing ship is a bit gory, but also interesting.

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.

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US warns of cyberattacks by Russia on anniversary of Ukraine war

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The US Cybersecurity and Infrastructure Security Agency has issued an advisory urging organizations to increase cybersecurity vigilance today, the anniversary of Russia’s invasion of Ukraine, in the wake of a cyberattack against several Ukrainian government websites.

“The United States and European nations may experience disruptive and defacement attacks against websites in an attempt to sow chaos and societal discord,” the CISA advisory said.

The cyberattack in Ukraine, detected yesterday, hit the websites of a number of central and local authorities, “modifying the content of some of their webpages,” according to a statement from the State Service of Special Communication and Information Protection of Ukraine.

To read this article in full, please click here

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Who’s Behind the Botnet-Based Service BHProxies?

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A security firm has discovered that a six-year-old crafty botnet known as Mylobot appears to be powering a residential proxy service called BHProxies, which offers paying customers the ability to route their web traffic anonymously through compromised computers. Here’s a closer look at Mylobot, and a deep dive into who may be responsible for operating the BHProxies service.

The BHProxies website.

First identified in 2017 by the security firm Deep Instinct, Mylobot employs a number of fairly sophisticated methods to remain undetected on infected hosts, such as running exclusively in the computer’s temporary memory, and waiting 14 days before attempting to contact the botnet’s command and control servers.

Last year, researchers at Minerva Labs spotted the botnet being used to blast out sextortion scams. But according to a new report from BitSight, the Mylobot botnet’s main functionality has always been about transforming the infected system into a proxy.

The Mylobot malware includes more than 1,000 hard-coded and encrypted domain names, any one of which can be registered and used as control networks for the infected hosts. BitSight researchers found significant overlap in the Internet addresses used by those domains and a domain called BHproxies[.]com.

BHProxies sells access to “residential proxy” networks, which allow someone to rent a residential IP address to use as a relay for their Internet communications, providing anonymity and the advantage of being perceived as a residential user surfing the web. The service is currently advertising access to more than 150,000 devices globally.

“At this point, we cannot prove that BHProxies is linked to Mylobot, but we have a strong suspicion,” wrote BitSight’s Stanislas Arnoud.

To test their hypothesis, BitSight obtained 50 proxies from BHProxies. The researchers were able to use 48 of those 50 proxies to browse to a website they controlled — allowing them to record the true IP addresses of each proxy device.

“Among these 48 recovered residential proxies IP addresses, 28 (58.3%) of those were already present in our sinkhole systems, associated with the Mylobot malware family,” Arnoud continued. “This number is probably higher, but we don’t have a full visibility of the botnet. This gave us clear evidence that Mylobot infected computers are used by the BHProxies service.”

BitSight said it is currently seeing more than 50,000 unique Mylobot infected systems every day, and that India appears to be the most targeted country, followed by the United States, Indonesia and Iran.

“We believe we are only seeing part of the full botnet, which may lead to more than 150,000 infected computers as advertised by BHProxies’ operators,” Arnoud wrote.

WHO’S BEHIND BHPROXIES?

The website BHProxies[.]com has been advertised for nearly a decade on the forum Black Hat World by the user BHProxies. BHProxies has authored 129 posts on Black Hat World since 2012, and their last post on the forum was in December 2022.

BHProxies initially was fairly active on Black Hat World between May and November 2012, after which it suddenly ceased all activity. The account didn’t resume posting on the forum until April 2014.

According to cyber intelligence firm Intel 471, the user BHProxies also used the handle “hassan_isabad_subar” and marketed various software tools, including “Subar’s free email creator” and “Subar’s free proxy scraper.”

Intel 471’s data shows that hassan_isabad_subar registered on the forum using the email address jesus.fn.christ@gmail.com. In a June 2012 private message exchange with a website developer on Black Hat World, hassan_isabad_subar confided that they were working at the time to develop two websites, including the now-defunct customscrabblejewelry.com.

DomainTools.com reports that customscrabblejewelry.com was registered in 2012 to a Teresa Shotliff in Chesterland, Ohio. A search on jesus.fn.christ@gmail.com at Constella Intelligence, a company that tracks compromised databases, shows this email address is tied to an account at the fundraising platform omaze.com, for a Brian Shotliff from Chesterland, Ohio.

Reached via LinkedIn, Mr. Shotliff said he sold his BHProxies account to another Black Hat World forum user from Egypt back in 2014. Shotliff shared an April 2014 password reset email from Black Hat World, which shows he forwarded the plaintext password to the email address legendboy2050@yahoo.com. He also shared a PayPal receipt and snippets of Facebook Messenger logs showing conversations in March 2014 with legendboy2050@yahoo.com.

Constella Intelligence confirmed that legendboy2050@yahoo.com was indeed another email address tied to the hassan_isabad_subar/BHProxies identity on Black Hat World. Constella also connects legendboy2050 to Facebook and Instagram accounts for one Abdala Tawfik from Cairo. This user’s Facebook page says Tawfik also uses the name Abdalla Khafagy.

Tawfik’s Instagram account says he is a former operations manager at the social media network TikTok, as well as a former director at Crypto.com.

Abdalla Khafagy’s LinkedIn profile says he was “global director of community” at Crypto.com for about a year ending in January 2022. Before that, the resume says he was operations manager of TikTok’s Middle East and North Africa region for approximately seven months ending in April 2020.

Khafagy’s LinkedIn profile says he is currently founder of LewkLabs, a Dubai-based “blockchain-powered, SocialFi content monetization platform” that last year reported funding of $3.26 million from private investors.

The only experience listed for Khafagy prior to the TikTok job is labeled “Marketing” at “Confidential,” from February 2014 to October 2019.

Reached via LinkedIn, Mr. Khafagy told KrebsOnSecurity that he had a Black Hat World account at some point, but that he didn’t recall ever having used an account by the name BHProxies or hassan_isabad_subar. Khafagy said he couldn’t remember the name of the account he had on the forum.

“I had an account that was simply hacked from me shortly after and I never bothered about it because it wasn’t mine in the first place,” he explained.

Khafagy declined to elaborate on the five-year stint in his resume marked “Confidential.” When asked directly whether he had ever been associated with the BHProxies service, Mr. Khafagy said no.

That Confidential job listing is interesting because its start date lines up with the creation of BHproxies[.]com. Archive.org indexed its first copy of BHProxies[.]com on Mar. 5, 2014, but historic DNS records show BHproxies[.]com first came online Feb. 25, 2014.

Shortly after that conversation with Mr. Khafagy, Mr. Shotliff shared a Facebook/Meta message he received that indicated Mr. Khafagy wanted him to support the claim that the BHProxies account had somehow gone missing.

“Hey mate, it’s been a long time. Hope you are doing well. Someone from Krebs on Security reached out to me about the account I got from you on BHW,” Khafagy’s Meta account wrote. “Didn’t we try to retrieve this account? I remember mentioning to you that it got stolen and I was never able to retrieve it.”

Mr. Shotliff said Khafagy’s sudden message this week was the first time he’d heard that claim.

“He bought the account,” Shotliff said. “He might have lost the account or had it stolen, but it’s not something I remember.”

If you liked this story, you may also enjoy these other investigations into botnet-based proxy services:

A Deep Dive Into the Residential Proxy Service ‘911’
911 Proxy Service Implodes After Disclosing Breach
Meet the Administrators of the RSOCKS Proxy Botnet
The Link Between AWM Proxy & the Glupteba Botnet
15-Year-Old Malware Proxy Network VIP72 Goes Dark
Who’s Behind the TDSS Botnet?

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Microsoft tells Exchange admins to revert previously recommended antivirus exclusions

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Microsoft is advising Exchange Server administrators to remove some of the endpoint antivirus exclusions that the company’s own documentation recommended in the past. The rules are no longer needed for server stability and their presence could prevent the detection of backdoors deployed by attackers.

“Times have changed, and so has the cybersecurity landscape,” the Exchange Server team said in a blog post. “We’ve found that some existing exclusions — namely the Temporary ASP.NET Files and Inetsrv folders, and the PowerShell and w3wp processes — are no longer needed, and that it would be much better to scan these files and folders. Keeping these exclusions may prevent detections of IIS webshells and backdoor modules, which represent the most common security issues.”

To read this article in full, please click here

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chromium-110.0.5481.177-1.el7

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FEDORA-EPEL-2023-29b054d297

Packages in this update:

chromium-110.0.5481.177-1.el7

Update description:

update to 110.0.5481.177. Fixes the following security issues:

CVE-2023-0927 CVE-2023-0928 CVE-2023-0929 CVE-2023-0930 CVE-2023-0931 CVE-2023-0932 CVE-2023-0933 CVE-2023-0941

Update to 110.0.5481.100

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Putting Undetectable Backdoors in Machine Learning Models

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This is really interesting research from a few months ago:

Abstract: Given the computational cost and technical expertise required to train machine learning models, users may delegate the task of learning to a service provider. Delegation of learning has clear benefits, and at the same time raises serious concerns of trust. This work studies possible abuses of power by untrusted learners.We show how a malicious learner can plant an undetectable backdoor into a classifier. On the surface, such a backdoored classifier behaves normally, but in reality, the learner maintains a mechanism for changing the classification of any input, with only a slight perturbation. Importantly, without the appropriate “backdoor key,” the mechanism is hidden and cannot be detected by any computationally-bounded observer. We demonstrate two frameworks for planting undetectable backdoors, with incomparable guarantees.

First, we show how to plant a backdoor in any model, using digital signature schemes. The construction guarantees that given query access to the original model and the backdoored version, it is computationally infeasible to find even a single input where they differ. This property implies that the backdoored model has generalization error comparable with the original model. Moreover, even if the distinguisher can request backdoored inputs of its choice, they cannot backdoor a new input­a property we call non-replicability.

Second, we demonstrate how to insert undetectable backdoors in models trained using the Random Fourier Features (RFF) learning paradigm (Rahimi, Recht; NeurIPS 2007). In this construction, undetectability holds against powerful white-box distinguishers: given a complete description of the network and the training data, no efficient distinguisher can guess whether the model is “clean” or contains a backdoor. The backdooring algorithm executes the RFF algorithm faithfully on the given training data, tampering only with its random coins. We prove this strong guarantee under the hardness of the Continuous Learning With Errors problem (Bruna, Regev, Song, Tang; STOC 2021). We show a similar white-box undetectable backdoor for random ReLU networks based on the hardness of Sparse PCA (Berthet, Rigollet; COLT 2013).

Our construction of undetectable backdoors also sheds light on the related issue of robustness to adversarial examples. In particular, by constructing undetectable backdoor for an “adversarially-robust” learning algorithm, we can produce a classifier that is indistinguishable from a robust classifier, but where every input has an adversarial example! In this way, the existence of undetectable backdoors represent a significant theoretical roadblock to certifying adversarial robustness.

Turns out that securing ML systems is really hard.

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