Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection

Existing literature heavily relies on static analysis tools to evaluate LLMs for secure code generation and vulnerability detection. We reviewed 1,080 LLM-generated code samples, built a human-validated ground-truth, and compared the outputs of two widely used static security tools, CodeQL and...

Deep Learning for Contextualized NetFlow-Based Network Intrusion Detection: Methods, Data, Evaluation and Deployment

Network Intrusion Detection Systems NIDS have progressively shifted from signature-based techniques toward machine learning and, more recently, deep learning methods. Meanwhile, the widespread adoption of encryption has reduced payload visibility, weakening inspection pipelines that depend on...

PT-2026-6600

Name of the Vulnerable Software and Affected Versions TP-Link Archer MR200 version 5.2 TP-Link C20 version 6 TP-Link TL-WR850N version 3 TP-Link TL-WR845N version 4 Description The response from the devices is executed by a JavaScript function, such as eval, without proper validation. This allows...

CVE-2026-25481

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

CVE-2026-25481 Langroid has WAF Bypass Leading to RCE in TableChatAgent

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

CVE-2026-25481

Langroid CVE-2026-25481: Prior to 0.59.32, TableChatAgent bypasses the fix for CVE-2025-46724 by enabling pandas_eval with unrestricted access to dangerous dunder attributes. This allows chaining DataFrame methods to leak eval and execute arbitrary code. The issue is patched in version 0.59.32. A...

CVE-2026-25481 Langroid has WAF Bypass Leading to RCE in TableChatAgent

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

CVE-2026-25481 Langroid has WAF Bypass Leading to RCE in TableChatAgent

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

EUVD-2026-5347

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

GHSA-6CQR-8CFR-67F8 n8n Has Expression Escape Vulnerability Leading to RCE

Impact Additional exploits in the expression evaluation of n8n have been identified and patched following CVE-2025-68613. An authenticated user with permission to create or modify workflows could abuse crafted expressions in workflow parameters to trigger unintended system command execution on th...

CVE-2026-23065

In the Linux kernel, the following vulnerability has been resolved: platform/x86/amd: Fix memory leak in wbrfrecord The tmp buffer is allocated using kcalloc but is not freed if acpievaluatedsm fails. This causes a memory leak in the error path. Fix this by explicitly freeing the tmp buffer in th...

Langroid 代码注入漏洞

Langroid is an open-source tool developed using multi-agent programming for LLM tasks. Versions of Langroid prior to 0.59.32 had a code injection vulnerability. This vulnerability stemmed from a bypass in the TableChatAgent’s invocation of the pandaseval tool, which could allow arbitrary code to ...

GHSA-9M3X-QQW2-H32H picklescan missing detection by simple obfuscation of a `builtins.eval` call

Summary An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the host loading a pickle payload from an untrusted source. Details It's possible to hide the eval call nested under another callable via getattr. PoC python import builtins class EvilClas...

picklescan missing detection by simple obfuscation of a `builtins.eval` call

Summary An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the host loading a pickle payload from an untrusted source. Details It's possible to hide the eval call nested under another callable via getattr. PoC python import builtins class EvilClas...

GHSA-X34R-63HX-W57F Langroid has WAF Bypass Leading to RCE in TableChatAgent

Affected Scope langroid = 0.59.31 Vulnerability Description CVE-2025-46724 fix bypass: TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code injection CVE-2025-46724. However it can be bypassed due to literalok...

Langroid has WAF Bypass Leading to RCE in TableChatAgent

Affected Scope langroid = 0.59.31 Vulnerability Description CVE-2025-46724 fix bypass: TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code injection CVE-2025-46724. However it can be bypassed due to literalok...

CVE-2026-24904

TrustTunnel is an open-source VPN protocol with a rule bypass issue in versions prior to 0.9.115. In tlslistener.rs, TlsListener::listen peeks 1024 bytes and calls extractclientrandom.... If parsetlsplaintext fails for example, a fragmented/partial ClientHello split across TCP writes,...

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...

Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection

The rise of bot accounts on social media poses significant risks to public discourse. To address this threat, modern bot detectors increasingly rely on Graph Neural Networks GNNs. However, the effectiveness of these GNN-based detectors in real-world settings remains poorly understood. In practice...

The Semantic Trap: Do Fine-Tuned LLMs Learn Vulnerability Root Cause or Just Functional Pattern?

LLMs demonstrate promising performance in software vulnerability detection after fine-tuning. However, it remains unclear whether these gains reflect a genuine understanding of vulnerability root causes or merely an exploitation of functional patterns. In this paper, we identify a critical failur...