Hugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

GHSA-J7X9-7J54-2V3H Hugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

CVE-2026-0599

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

CVE-2026-0599 Unbounded External Image Fetch in Validation Leads to Resource-Exhaustion DoS in huggingface/text-generation-inference

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

EUVD-2026-5137

A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET...

CVE-2026-0599

CVE-2026-0599 concerns huggingface/text-generation-inference version 3.3.6, where unauthenticated attackers can trigger a resource-exhaustion DoS via unbounded external image fetching during input validation in VLM mode. The router scans inputs for Markdown image links and issues a blocking HTTP ...

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers

Detecting whether a model has been poisoned is a longstanding problem in AI security. In this work, we present a practical scanner for identifying sleeper agent-style backdoors in causal language models. Our approach relies on two key findings: first, sleeper agents tend to memorize poisoning dat...

Text Generation Inference 资源管理错误漏洞

Text Generation Inference is a Rust, Python, and gRPC server developed by Hugging Face for text generation inference. Version 3.3.6 of Text Generation Inference contains a resource management vulnerability. This vulnerability stems from the unlimited acquisition of external images during input...

PT-2026-5654

Name of the Vulnerable Software and Affected Versions huggingface/text-generation-inference version 3.3.6 huggingface/text-generation-inference versions prior to 3.3.7 Description A flaw exists in huggingface/text-generation-inference that allows unauthenticated remote attackers to cause a...

Evaluating Large Language Models for Security Bug Report Prediction

Early detection of security bug reports SBRs is critical for timely vulnerability mitigation. We present an evaluation of prompt-based engineering and fine-tuning approaches for predicting SBRs using Large Language Models LLMs. Our findings reveal a distinct trade-off between the two approaches...

Timing Attack

OctoPrint is vulnerable to Timing Attack. The vulnerability is due to character-by-character API key comparison with early termination, which allows a network-based attacker to infer valid API keys by measuring response times and guessing the key one character at a time...

Hardware-Triggered Backdoors

Machine learning models are routinely deployed on a wide range of computing hardware. Although such hardware is typically expected to produce identical results, differences in its design can lead to small numerical variations during inference. In this work, we show that these variations can be...

SQLMAP-CTT-v2.0-33-Layer-Fractal-Resonance-SQL-Injection-Engine

SQLMAP-CTT-v2.0-33-Layer-Fractal-Resonance-SQL...

CVE-2025-22234

The fix applied in CVE-2025-22228 inadvertently broke the timing attack mitigation implemented in DaoAuthenticationProvider. This can allow attackers to infer valid usernames or other authentication behavior via response-time differences under certain configurations. Mitigation Mitigation for thi...

Spring Security has a broken timing attack mitigation implemented in DaoAuthenticationProvide

The fix applied in CVE-2025-22228 inadvertently broke the timing attack mitigation implemented in DaoAuthenticationProvider. This can allow attackers to infer valid usernames or other authentication behavior via response-time differences under certain configurations...

CVE-2025-22234

The fix applied in CVE-2025-22228 inadvertently broke the timing attack mitigation implemented in DaoAuthenticationProvider. This can allow attackers to infer valid usernames or other authentication behavior via response-time differences under certain configurations...

CVE-2025-22234

CVE-2025-22234 is associated with Spring Security’s timing-attack mitigation in DaoAuthenticationProvider. The described issue states that the fix applied in CVE-2025-22228 accidentally broke the mitigation, enabling an attacker to infer usernames or authentication behavior via response-time diff...

EUVD-2026-3787

The fix applied in CVE-2025-22228 inadvertently broke the timing attack mitigation implemented in DaoAuthenticationProvider. This can allow attackers to infer valid usernames or other authentication behavior via response-time differences under certain configurations...

PT-2026-3934

Neo4j Enterprise edition versions prior to 2025.11.2 and 5.26.17 are vulnerable to a potential information disclosure by an attacker who has some legitimate access to the database. The vulnerability allows attacker without read access to a property to infer information about its value by trying t...

CVE-2026-23996

CVE-2026-23996 concerns the FastAPI Api Key library. Version 1.1.0 is reported to expose a timing side-channel in verify_key(), where a random delay is applied only on verification failures. This enables an attacker to statistically distinguish valid from invalid API keys by measuring response la...