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Researchers have discovered a novel attack on the Python Package Index (PyPI) repository that employs compiled Python code to sidestep detection by application security tools. "It may be the first supply chain attack to take advantage of the fact that Python bytecode (PYC) files can be directly executed," ReversingLabs analyst Karlo Zanki  said  in a report shared with The Hacker News. The package in question is  fshec2 , which was removed from the third-party software registry on April 17, 2023, following responsible disclosure on the same day. PYC files are compiled bytecode files that are generated by the Python interpreter when a Python program is executed. "When a module is imported for the first time (or when the source file has changed since the current compiled file was created) a .pyc file containing the compiled code should be created in a __pycache__ subdirectory of the directory containing the .py file,"  explains  the Python documentation. The pa

A malicious Python package on the Python Package Index (PyPI) repository has been found to use Unicode as a trick to evade detection and deploy an info-stealing malware. The package in question, named  onyxproxy , was uploaded to PyPI on March 15, 2023, and comes with capabilities to harvest and exfiltrate credentials and other valuable data. It has since been taken down, but not before attracting a total of  183 downloads . According to software supply chain security firm Phylum, the package incorporates its malicious behavior in a setup script that's packed with thousands of seemingly legitimate code strings. These strings include a mix of bold and italic fonts and are still readable and can be parsed by the Python interpreter, only to activate the execution of the stealer malware upon installation of the package.  "An obvious and immediate benefit of this strange scheme is readability," the company  noted . "Moreover, these visible differences do not prevent

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A malicious Python package uploaded to the Python Package Index (PyPI) has been found to contain a fully-featured information stealer and remote access trojan. The package, named  colourfool , was identified by Kroll's Cyber Threat Intelligence team, with the company calling the malware  Colour-Blind . "The 'Colour-Blind' malware points to the democratization of cybercrime that could lead to an intensified threat landscape, as multiple variants can be spawned from code sourced from others," Kroll researchers Dave Truman and George Glass  said  in a report shared with The Hacker News. colourfool, like  other rogue Python modules  discovered in recent months, conceals its malicious code in the setup script, which points to a ZIP archive payload hosted on Discord. The file contains a Python script (code.py) that comes with different modules designed to log keystrokes, steal cookies, and even disable security software. The malware, besides performing defense ev

Cybersecurity researchers are warning of "imposter packages" mimicking popular libraries available on the Python Package Index (PyPI) repository. The 41 malicious PyPI packages have been found to pose as typosquatted variants of legitimate modules such as HTTP, AIOHTTP, requests, urllib, and urllib3. The names of the packages are as follows: aio5, aio6, htps1, httiop, httops, httplat, httpscolor, httpsing, httpslib, httpsos, httpsp, httpssp, httpssus, httpsus, httpxgetter, httpxmodifier, httpxrequester, httpxrequesterv2, httpxv2, httpxv3, libhttps, piphttps, pohttp, requestsd, requestse, requestst, ulrlib3, urelib3, urklib3, urlkib3, urllb, urllib33, urolib3, xhttpsp "The descriptions for these packages, for the most part, don't hint at their malicious intent," ReversingLabs researcher Lucija Valentić  said  in a new writeup. "Some are disguised as real libraries and make flattering comparisons between their capabilities and those of known, legitimate

Malicious actors have published more than 451 unique Python packages on the official Python Package Index (PyPI) repository in an attempt to infect developer systems with  clipper malware . Software supply chain security company Phylum, which  spotted the libraries , said the ongoing activity is a follow-up to a campaign that was initially disclosed in November 2022. The initial vector entails using  typosquatting  to mimic popular packages such as beautifulsoup, bitcoinlib, cryptofeed, matplotlib, pandas, pytorch, scikit-learn, scrapy, selenium, solana, and tensorflow, among others. "After installation, a malicious JavaScript file is dropped to the system and executed in the background of any web browsing session," Phylum  said  in a report published last year. "When a developer copies a cryptocurrency address, the address is replaced in the clipboard with the attacker's address." This is achieved by creating a Chromium web browser extension in the Window

An active malware campaign is targeting the Python Package Index (PyPI) and npm repositories for Python and JavaScript with typosquatted and fake modules that deploy a ransomware strain, marking the latest security issue to affect software supply chains. The typosquatted Python packages all impersonate the popular  requests library : dequests, fequests, gequests, rdquests, reauests, reduests, reeuests, reqhests, reqkests, requesfs, requesta, requeste, requestw, requfsts, resuests, rewuests, rfquests, rrquests, rwquests, telnservrr, and tequests. According to  Phylum , the rogue packages embed source code that retrieves a Golang-based ransomware binary from a remote server depending on the victim's operating system and microarchitecture. Successful execution causes the victim's desktop background to be changed to an actor-controlled image that claims to the U.S. Central Intelligence Agency (CIA). It's also designed to encrypt files and demand a $100 ransom in cryptocurr

A malicious package discovered on the Python Package Index (PyPI) has been found employing a steganographic trick to conceal malicious code within image files. The package in question, named " apicolor ," was uploaded to the Python third-party repository on October 31, 2022, and described as a "Core lib for REST API," according to Israeli cybersecurity firm  Check Point . It has since been  taken down . Apicolor, like other  rogue packages  detected recently, harbors its malicious behavior in the setup script used to specify metadata associated with the package, such as its dependencies. This takes the form of a second package called "judyb" as well as a seemingly harmless PNG file ("8F4D2uF.png") hosted on Imgur, an image-sharing service. "The judyb code turned out to be a steganography module, responsible [for] hiding and revealing hidden messages inside pictures," Check Point explained. The attack chain entails using the judy

Multiple campaigns that distributed trojanized and typosquatted packages on the NPM open source repository have been identified as the work of a single threat actor dubbed LofyGang . Checkmarx said it discovered 199 rogue packages totaling thousands of installations, with the group operating for over a year with the goal of stealing credit card data as well as user accounts associated with Discord Nitro, gaming, and streaming services. "LofyGang operators are seen promoting their hacking tools in hacking forums, while some of the tools are shipped with a hidden backdoor," the software security company said in a report shared with The Hacker News prior to its publication. Various pieces of the attack puzzle have already been reported by  JFrog ,  Sonatype , and  Kaspersky  (which called it LofyLife), but the latest analysis pulls the various operations together under one organizational umbrella that Checkmarx is referring to as  LofyGang . Believed to be an organized c

More details have emerged about the operators behind the  first-known phishing campaign  specifically aimed at the Python Package Index (PyPI), the official third-party software repository for the programming language. Connecting it to a threat actor tracked as  JuiceLedger , cybersecurity firm SentinelOne, along with Checkmarx, described the group as a relatively new entity that surfaced in early 2022. Initial "low-key" campaigns are said to have involved the use of rogue Python installer applications to deliver a .NET-based malware called JuiceStealer that's engineered to siphon passwords and other sensitive data from victims' web browsers. The attacks received a significant facelift last month when the JuiceLedger actors  targeted PyPi package contributors  in a phishing campaign, resulting in the compromise of three packages with malware. "The supply chain attack on PyPI package contributors appears to be an escalation of a campaign begun earlier in th

In another finding that could expose developers to increased risk of a supply chain attack, it has emerged that nearly one-third of the packages in PyPI, the Python Package Index, trigger automatic code execution upon downloading them. "A worrying feature in pip/PyPI allows code to automatically run when developers are merely downloading a package," Checkmarx researcher Yehuda Gelb  said  in a technical report published this week. "Also, this feature is alarming due to the fact that a great deal of the malicious packages we are finding in the wild use this feature of code execution upon installation to achieve higher infection rates." One of the ways by which packages can be installed for Python is by executing the " pip install " command, which, in turn, invokes a file called "setup.py" that comes bundled along with the module. "setup.py," as the name implies, is a  setup script  that's used to specify metadata associated wit

The Python Package Index, PyPI, on Wednesday sounded the alarm about an ongoing phishing campaign that aims to steal developer credentials and inject malicious updates to legitimate packages. "This is the first known phishing attack against PyPI," the maintainers of the official third-party software repository  said  in a series of tweets. The social engineering attack entails sending security-themed messages that create a false sense of urgency by informing recipients that Google is implementing a mandatory validation process on all packages and that they need to click on a link to complete the validation before September, or risk getting their PyPI modules removed. Should an unsuspecting developer fall for the scheme, users are directed to a lookalike landing page that mimics PyPI's login page and is hosted on Google Sites, from where the entered credentials are captured and abused to unauthorizedly access the accounts and compromise the packages to include malware

In what's yet another instance of malicious packages creeping into public code repositories, 10 modules have been removed from the Python Package Index (PyPI) for their ability to harvest critical data points such as passwords and API tokens. The packages "install info-stealers that enable attackers to steal developer's private data and personal credentials," Israeli cybersecurity firm Check Point  said  in a Monday report. A short summary of the offending packages is below - Ascii2text , which downloads a nefarious script that gathers passwords stored in web browsers such as Google Chrome, Microsoft Edge, Brave, Opera, and Yandex Browser Pyg-utils, Pymocks, and PyProto2 , which are designed to  steal users' AWS credentials Test-async and Zlibsrc , which download and execute malicious code during installation Free-net-vpn, Free-net-vpn2, and WINRPCexploit , which steal user credentials and environment variables, and Browserdiv , which are capable of coll

The maintainers of the official third-party software repository for Python have begun imposing a new two-factor authentication (2FA) condition for projects deemed "critical." "We've begun rolling out a 2FA requirement: soon, maintainers of critical projects must have 2FA enabled to publish, update, or modify them," Python Package Index (PyPI)  said  in a tweet last week. "Any maintainer of a critical project (both 'Maintainers' and 'Owners') are included in the 2FA requirement," it  added . Additionally, the developers of critical projects who have not previously turned on 2FA on PyPi are being offered free hardware security keys from the Google Open Source Security Team. PyPI, which is run by the Python Software Foundation, houses more than 350,000 projects, of which over  3,500 projects  are said to be tagged with a "critical" designation. According to the repository maintainers, any project accounting for the top 1%

Two trojanized Python and PHP packages have been uncovered in what's yet another instance of a software supply chain attack targeting the open source ecosystem. One of the packages in question is "ctx," a Python module available in the PyPi repository. The other involves "phpass," a PHP package that's been forked on GitHub to distribute a rogue update. "In both cases the attacker appears to have taken over packages that have not been updated in a while," the SANS Internet Storm Center (ISC)  said , one of whose volunteer incident handlers, Yee Ching, analyzed the ctx package. It's worth noting that ctx, prior to the latest release on May 21, 2022, was last published to PyPi on December 19, 2014. On the other hand, phpass hasn't received an update since it was uploaded to Packagist on August 31, 2012. Both the libraries have been removed from PyPi and GitHub . At its core, the modifications are designed to exfiltrate AWS credentials t

Cybersecurity researchers have uncovered as many as 11 malicious Python packages that have been cumulatively downloaded more than 41,000 times from the Python Package Index (PyPI) repository, and could be exploited to steal Discord access tokens, passwords, and even stage dependency confusion attacks. The Python packages have since been removed from the repository following responsible disclosure by DevOps firm JFrog — importantpackage / important-package pptest ipboards owlmoon DiscordSafety trrfab 10Cent10 / 10Cent11 yandex-yt yiffparty Two of the packages ("importantpackage," "10Cent10," and their variants) were found obtaining a reverse shell on a compromised machine, giving the attacker full control over the system. Two other packages "ipboards" and "trrfab" masqueraded as legitimate dependencies designed to be automatically imported by taking advantage of a technique called  dependency confusion  or namespace confusion. Unli