Perceptual Gaps: ASCII Art and Overlapping Audio As CAPTCHA

As multimodal large language models LLMs advance, traditional CAPTCHAs have become obsolete at distinguishing humans from bots. To address this shift, this paper aims to investigate the possibility of using tasks for which humans have evolved highly specialised neural processing. We introduce two...

[SECURITY] Fedora 42 Update: gst-editing-services-1.26.11-1.fc42

This is a high-level library for facilitating the creation of audio/video non-linear editors...

Allocation of Resources Without Limits or Throttling

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the preflight process for Telegram audio transcription. An attacker can cause excessive resource or billing consumption by triggeri...

OpenClaw: Telegram audio preflight transcription enables resource consumption by unauthorized senders

Summary Telegram audio preflight transcription enables resource consumption by unauthorized senders Current Maintainer Triage - Status: narrow - Normalized severity: medium - Assessment: v2026.3.28 still lets unauthorized Telegram group senders trigger audio preflight before allowlist enforcement...

Allocation of Resources Without Limits or Throttling

Overview @openclaw/discord is an OpenClaw Discord channel plugin Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling due to the Discord audio preflight transcription process occurring before member authorization. An attacker can cause excessive...

OpenClaw runs Discord audio preflight transcription before member authorization

Summary Discord audio preflight transcription before member authorization Current Maintainer Triage - Status: narrow - Normalized severity: medium - Assessment: v2026.3.28 still runs Discord audio preflight before member allowlist rejection, but this is the same pre-auth resource-consumption clas...

Allocation of Resources Without Limits or Throttling

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling due to the Discord audio preflight transcription process occurring before member authorization. An attacker can cause excessive resour...

The vulnerability of the `cros_ec_codec_platform_probe()` function in the `sound/soc/codecs/cros_ecCodec.c` module allows a hacker to cause a system failure in the Linux operating system’s SoC audio kernel.

The vulnerability of the croseccodecplatformprobe function in the sound/soc/codecs/crosecCodec.c module, which is part of the Linux operating system’s SoC audio support, is related to errors during link counter updates. Exploiting this vulnerability could allow an attacker to cause a service...

Improper Input Validation

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Improper Input Validation due to inconsistent downmixing behavior in the tomono process. An attacker can manipulate audio inputs to cause the AI mod...

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 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

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...

Updated nss & firefox packages fix security vulnerabilities

Denial-of-service in the XML component. CVE-2025-59375 Race condition, use-after-free in the Graphics: WebRender component. CVE-2026-4684 Incorrect boundary conditions in the Graphics: Canvas2D component. CVE-2026-4685 Incorrect boundary conditions in the Graphics: Canvas2D component. CVE-2026-46...

CVE-2026-5317

A flaw was found in Nothings stb, a library used for processing audio. A remote attacker can exploit a vulnerability involving an out-of-bounds write within the startdecoder function. This issue could allow an attacker to cause the application to crash, disclose sensitive information, or corrupt...

Out-of-bounds Write

Overview Affected versions of this package are vulnerable to Out-of-bounds Write via the startdecoder function. An attacker can cause application crashes, disclose sensitive information, or corrupt data by supplying specially crafted audio files to applications utilizing the affected library...