Updated polkit-122 packages fix security vulnerability

Denial of service via unbounded input processing through standard input. CVE-2026-4897...

MGASA-2026-0085 Updated polkit-122 packages fix security vulnerability

Denial of service via unbounded input processing through standard input. CVE-2026-4897...

CVE-2026-34768

A flaw was found in Electron. On Windows, when an application is installed to a path containing spaces and configured to open at login, the executable path is written to the system's Run registry key without proper quoting. An attacker with write access to an ancestor directory can exploit this t...

CVE-2026-35042 fast-jwt accepts unknown `crit` header extensions (RFC 7515 §4.1.11 MUST violation)

fast-jwt provides fast JSON Web Token JWT implementation. In 6.1.0 and earlier, fast-jwt does not validate the crit Critical Header Parameter defined in RFC 7515 §4.1.11. When a JWS token contains a crit array listing extensions that fast-jwt does not understand, the library accepts the token...

DEBIAN-CVE-2026-34379

OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. From 3.2.0 to before 3.2.7, 3.3.9, and 3.4.9, a misaligned memory write vulnerability exists in LossyDctDecoderexecute in...

Qualcomm Chipsets 安全漏洞

Qualcomm Chipsets are a series of chipset developed by Qualcomm Incorporated in the United States. There are security vulnerabilities in Qualcomm Chipsets, which stem from handling non-standard FILS discovery frames with oversized operations during initial scanning, potentially leading to sudden...

Tenda CH22 安全漏洞

The Tenda CH22 is a network device produced by the Chinese company Tenda. Version 1.0.0.1 of the Tenda CH22 contains a security vulnerability. This vulnerability stems from incorrect handling of the “standard” parameter, which may lead to a stack buffer overflow attack...

[SECURITY] Fedora 42 Update: python3.12-3.12.13-2.fc42

Python 3.12 is an accessible, high-level, dynamically typed, interpreted programming language, designed with an emphasis on code readability. It includes an extensive standard library, and has a vast ecosystem of third-party libraries. The python3.12 package provides the "python3.12" executable:...

PYSEC-2026-2299

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

PYSEC-2026-2299

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

CVE-2026-34760

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

CVE-2026-34760 vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

CVE-2026-34760 vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

CVE-2026-34760

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

CVE-2026-34760

Summary: CVE-2026-34760 concerns vLLM’s audio processing path via Librosa. From version 0.5.5 up to before 0.18.0, Librosa used numpy.mean for mono downmix (to_mono), while ITU-R BS.775-4 specifies a weighted downmix. This mismatch creates inconsistency between audio perceived by humans and audio...

Yurei Ransomware Uses Common Tools, Adds Stranger Things References

Team Cymru details the Yurei ransomware campaign, using standard tools and a few Stranger Things–named payloads to breach and encrypt systems...

cpython: POP3 command injection in user-controlled commands

A flaw was found in the poplib module in the Python standard library. The poplib module does not reject control characters, such as newlines, in user-controlled input passed to POP3 commands. This issue allows an attacker to inject additional commands to be executed in the POP3 server...

Polkit: polkit: denial of service via unbounded input processing through standard input

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CVE-2026-25835

Mbed TLS before 3.6.6 and TF-PSA-Crypto before 1.1.0 misuse seeds in a Pseudo-Random Number Generator PRNG...

CVE-2026-34445

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...