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The Securities and Exchange Commission has announced rules around breaches for certain financial institutions.
By Waqas The Llama Drama vulnerability in the Llama-cpp-Python package exposes AI models to remote code execution (RCE) attacks, enabling attackers to steal data. Currently, over 6,000 models are affected by this vulnerability. This is a post from HackRead.com Read the original post: AI Python Package Flaw ‘Llama Drama’ Threatens Software Supply Chain
All developers want to create secure and dependable software. They should feel proud to release their code with the full confidence they did not introduce any weaknesses or anti-patterns into their applications. Unfortunately, developers are not writing their own code for the most part these days. 96% of all software contains some open-source components, and open-source components make
## Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-4qqq-9vqf-3h3f. This link is maintained to preserve external references. ## Original Description In scrapy/scrapy, an issue was identified where the Authorization header is not removed during redirects that only change the scheme (e.g., HTTPS to HTTP) but remain within the same domain. This behavior contravenes the Fetch standard, which mandates the removal of Authorization headers in cross-origin requests when the scheme, host, or port changes. Consequently, when a redirect downgrades from HTTPS to HTTP, the Authorization header may be inadvertently exposed in plaintext, leading to potential sensitive information disclosure to unauthorized actors. The flaw is located in the _build_redirect_request function of the redirect middleware.
A "multi-faceted campaign" has been observed abusing legitimate services like GitHub and FileZilla to deliver an array of stealer malware and banking trojans such as Atomic (aka AMOS), Vidar, Lumma (aka LummaC2), and Octo by impersonating credible software like 1Password, Bartender 5, and Pixelmator Pro. "The presence of multiple malware variants suggests a broad cross-platform targeting
A remote code execution (RCE) vulnerability exists in the berriai/litellm project due to improper control of the generation of code when using the `eval` function unsafely in the `litellm.get_secret()` method. Specifically, when the server utilizes Google KMS, untrusted data is passed to the `eval` function without any sanitization. Attackers can exploit this vulnerability by injecting malicious values into environment variables through the `/config/update` endpoint, which allows for the update of settings in `proxy_server_config.yaml`.
In Tor Arti before 1.2.3, circuits sometimes incorrectly have a length of 3 (with full vanguards), aka TROVE-2024-004.
In Tor Arti before 1.2.3, STUB circuits incorrectly have a length of 2 (with lite vanguards), aka TROVE-2024-003.
random_compat versions prior to 2.0 are affected by a security vulnerability related to the insecure usage of Cryptographically Secure Pseudo-Random Number Generators (CSPRNG). The affected versions use openssl_random_pseudo_bytes(), which may result in insufficient entropy and compromise the security of generated random numbers.