EUVD-2026-16537

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

GHSA-MHRG-94VW-45C5 Spring AI: Insufficient Validation causes SSRF when processing multimodal messages with user-supplied URLs

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

Spring AI: Insufficient Validation causes SSRF when processing multimodal messages with user-supplied URLs

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

CVE-2026-22742

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

CVE-2026-22742 Server-Side Request Forgery in BedrockProxyChatModel via Unvalidated Media URL Fetching

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

CVE-2026-22742

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

CVE-2026-22742 Server-Side Request Forgery in BedrockProxyChatModel via Unvalidated Media URL Fetching

Spring AI's spring-ai-bedrock-converse contains a Server-Side Request Forgery SSRF vulnerability in BedrockProxyChatModel when processing multimodal messages that include user-supplied media URLs. Insufficient validation of those URLs allows an attacker to induce the server to issue HTTP requests...

PT-2026-28325

Name of the Vulnerable Software and Affected Versions Spring AI versions 1.0.0 through 1.0.4 Spring AI versions 1.1.0 through 1.1.3 Description Spring AI’s spring-ai-bedrock-converse component has a Server-Side Request Forgery SSRF issue within the BedrockProxyChatModel. This occurs when handling...

TreeTeaming: Autonomous Red-Teaming of Vision-Language Models Via Hierarchical Strategy Exploration

The rapid advancement of Vision-Language Models VLMs has brought their safety vulnerabilities into sharp focus. However, existing red teaming methods are fundamentally constrained by an inherent linear exploration paradigm, confining them to optimizing within a predefined strategy set and...

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root cause often lies in ML algorithms learning superficial patterns shortcuts rather than underlying cybersecurity concept...

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

EUVD-2026-11557

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

CVE-2026-3059 CVE-2026-3059

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

CVE-2026-3059

CVE-2026-3059 affects SGLang’s multimodal generation module via the ZMQ broker, where unauthenticated data can be deserialized with pickle.loads(), enabling remote code execution. The vulnerability arises from deserializing untrusted data without authentication. The provided documents do not spec...

CVE-2026-3059 CVE-2026-3059

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

CVE-2026-3059

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

sglang 安全漏洞

SGLang is a programming language and runtime system developed by SGL-project, aimed at accelerating large model inference. SGLang has a security vulnerability that stems from the multi-modal generation module deserializing unvalidated data through the ZMQ proxy, potentially allowing remote code...

SGLang (sglang) is vulnerable to code execution attacks via unsafe pickle deserialization

Overview Two unsafe pickle deserialization vulnerabilities have been discovered in the SGLang open-source project, one within the tool's multimodal generation module and another within the Encoder Parallel Disaggregation system. SGLang is a serving framework for large language models LLMs and...

LROO Rug Pull Detector: A Leakage-Resistant Framework Based on On-Chain and OSINT Signals

Smart contract-based ecosystems enable decentralized applications without trusted intermediaries, but their immutability and permissionless design also facilitate large-scale fraud. One of the most prevalent attacks is the rug pull, where project operators abruptly withdraw liquidity after...

GHSA-V2XR-WVRV-P969 RAGAS has an Arbitrary File Read vulnerability

An Arbitrary File Read vulnerability exists in the ImageTextPromptValue class in Exploding Gradients RAGAS v0.2.3 to v0.2.14. The vulnerability stems from improper validation and sanitization of URLs supplied in the retrievedcontexts parameter when handling multimodal inputs...