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Grok’s apology is unlikely to be the end of the story after the AI tool was used to generate content that may constitute illegal child sexual abuse material.
This week made one thing clear: small oversights can spiral fast. Tools meant to save time and reduce friction turned into easy entry points once basic safeguards were ignored. Attackers didn’t need novel tricks. They used what was already exposed and moved in without resistance. Scale amplified the damage. A single weak configuration rippled out to millions. A repeatable flaw worked again and
In 2025, Malwarebytes was repeatedly tested against real-world threats. Here’s what those tests found.
Meet OPCOPRO, an online scam that builds a fake AI-run world like The Truman Show using WhatsApp and apps to steal IDs via fake KYC and investments.
A new wave of GoBruteforcer attacks has targeted databases of cryptocurrency and blockchain projects to co-opt them into a botnet that's capable of brute-forcing user passwords for services such as FTP, MySQL, PostgreSQL, and phpMyAdmin on Linux servers. "The current wave of campaigns is driven by two factors: the mass reuse of AI-generated server deployment examples that propagate common
Cybersecurity researchers have shed light on two service providers that supply online criminal networks with the necessary tools and infrastructure to fuel the pig butchering-as-a-service (PBaaS) economy. At least since 2016, Chinese-speaking criminal groups have erected industrial-scale scam centers across Southeast Asia, creating special economic zones that are devoted to fraudulent investment
Database of 323,986 BreachForums users leaked online as forum admins claim the exposed data is partial and dates back to August 2025.
Plus: Iran shuts down its internet amid sweeping protests, an alleged scam boss gets extradited to China, and more.
The function `mnl::cb_run` is marked as safe but exhibits unsound behavior when processing malformed Netlink message buffers. Passing a crafted byte slice to `mnl::cb_run` can trigger memory violations. The function does not sufficiently validate the input buffer structure before processing, leading to out-of-bounds reads. This vulnerability allows an attacker to cause a Denial of Service (segmentation fault) or potentially read unmapped memory by providing a malformed Netlink message.
### Impact An attacker who exploits this vulnerability can craft a PDF which leads to possibly long runtimes for invalid `startxref` entries. When rebuilding the cross-reference table, PDF files with lots of whitespace characters become problematic. Only the non-strict reading mode is affected. ### Patches This has been fixed in [pypdf==6.6.0](https://github.com/py-pdf/pypdf/releases/tag/6.6.0). ### Workarounds ```python from pypdf import PdfReader, PdfWriter # Instead of reader = PdfReader("file.pdf") # use the strict mode: reader = PdfReader("file.pdf", strict=True) # Instead of writer = PdfWriter(clone_from="file.pdf") # use an explicit strict reader: writer = PdfWriter(clone_from=PdfReader("file.pdf", strict=True)) ``` ### Resources This issue has been fixed in #3594.