Socket’s Threat Research Team uncovered malicious Python packages designed to create a tunnel via Gmail. The threat actor’s email is the only potential clue as to their motivation, but once the tunnel is created, the threat actor can exfiltrate data or execute commands that we may not know about through these packages. These seven packages:
Coffin-Codes-Pro
Coffin-Codes-NET2
Coffin-Codes-NET
Coffin-Codes-2022
Coffin2022
Coffin-Grave
cfc-bsb
use Gmail, making these attempts less likely to be flagged by firewalls and endpoint detection systems since SMTP is commonly treated as legitimate traffic.
These packages have since been removed from the Python Package Index (PyPI).
Yesterday, Phylum's automated risk detection platform discovered that the PyPI package aiocpa was updated to include malicious code that steals private keys by exfiltrating them through Telegram when users initialize the crypto library. While the attacker published this malicious update to PyPI, they deliberately kept the package's GitHub repository clean
In today’s post, We’ll explore the process of designing and developing malware for macOS, which is a Unix-based operating system. We’ll use a classic approach to understanding Apple’s internals. To follow along, you should have a basic understanding of exploitation, as well as knowledge of C and Python programming, and some familiarity with low-level assembly language. While the topics may be advanced, I’ll do my best to present them smoothly.
In the realm of software development, open-source tools and packages play a pivotal role in simplifying tasks and accelerating development processes. Yet, as the community grows, so does the number of bad actors looking to exploit it. A recent example involves developers being targeted by seemingly legitimate Python obfuscation packages that harbor malicious code.
Since early April 2023, an attacker has been relentlessly deploying hundreds of malicious packages through various usernames, accumulating nearly 75,000 downloads. Our team at Checkmarx’s Supply Chain Security has been on this malicious actor’s trail since early April, documenting each step of its evolution. We have been actively observing an attacker who seems to be evermore refining their craft.
Netskope Threat Labs is tracking a campaign that uses malicious Python scripts to steal Facebook users’ credentials and browser data. This campaign targets Facebook business accounts with bogus Facebook messages with a malicious file attached. The attacks are reaching victims mainly in Southern Europe and North America across different segments, led by the manufacturing services and technology sectors.
Today, everything is “smart” or “intelligent”. We have smartphones, smart cars, smart doorbells, etc. Being "smart" means performing actions depending on the context, the environment, or user actions.
For a while, backdoors and trojans have implemented screenshot capabilities. From an attacker’s point of view, it’s interesting to “see” what’s displayed on the victim’s computer.