Towards Effective Complementary Security Analysis Using Large Language Models

A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing SAST tools. Numerous false positives FPs in these reports reduce the effectiveness of security analysis. We propose using Large Language Models LLMs to...

Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis Via Intermediate Representation and Language Model

Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown promise, these classifiers are often susceptible to adversarial attacks, undermining their reliability. To address this...

VulnCheck KEV: CVE-2025-34023

A path traversal vulnerability exists in the Karel IP1211 IP Phone's web management panel. The /cgi-bin/cgiServer.exx endpoint fails to properly sanitize user input to the page parameter, allowing remote authenticated attackers to access arbitrary files on the underlying system by using crafted...

Server-side Request Forgery (SSRF)

Overview Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the com.powsybl.commons.xml.XmlReader class. An attacker can access sensitive files or internal resources by submitting specially crafted XML input. Note: This is only exploitable if untrusted users...

Secure Vibe Coding: The Complete New Guide

DALL-E for coders? That's the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect...

Probe Before You Talk: Towards Black-Box Defense against Backdoor Unalignment for Large Language Models

Backdoor unalignment attacks against Large Language Models LLMs enable the stealthy compromise of safety alignment using a hidden trigger while evading normal safety auditing. These attacks pose significant threats to the applications of LLMs in the real-world Large Language Model as a Service...

Privacy-Preserving LLM Interaction with Socratic Chain-Of-Thought Reasoning and Homomorphically Encrypted Vector Databases

Large language models LLMs are increasingly used as personal agents, accessing sensitive user data such as calendars, emails, and medical records. Users currently face a trade-off: They can send private records, many of which are stored in remote databases, to powerful but untrusted LLM providers...

Applications of Zero-Knowledge Proofs on Bitcoin

This paper explores how zero-knowledge proofs can enhance Bitcoin's functionality and privacy. First, we consider Proof-of-Reserve schemes: by using zk-STARKs, a custodian can prove its Bitcoin holdings are more than a predefined threshold X, without revealing addresses or actual balances. We...

The vulnerability of the built-in boa server (/boafrm/formSysLog) of the TOTOLINK A3002RU router’s microprogramming software allows a intruder to cause a service failure.

The vulnerability of the built-in server boa /boafrm/formSysLog of the TOTOLINK A3002RU router’s microprogramming software is related to the issue of the operation exceeding the buffer boundaries in memory when processing the submit-url parameter. Exploiting this vulnerability allows a malicious...

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs

The increasing demand for domain-specific and human-aligned Large Language Models LLMs has led to the widespread adoption of Supervised Fine-Tuning SFT techniques. SFT datasets often comprise valuable instruction-response pairs, making them highly valuable targets for potential extraction. This...

DEBIAN-CVE-2022-49955

In the Linux kernel, the following vulnerability has been resolved: powerpc/rtas: Fix RTAS MSRHV handling for Cell The semi-recent changes to MSR handling when entering RTAS firmware cause crashes on IBM Cell machines. An example trace: kernel tried to execute user page 2fff01a8 - exploit attempt...

DEBIAN-CVE-2025-38047

In the Linux kernel, the following vulnerability has been resolved: x86/fred: Fix system hang during S4 resume with FRED enabled Upon a wakeup from S4, the restore kernel starts and initializes the FRED MSRs as needed from its perspective. It then loads a hibernation image, including the image...

UBUNTU-CVE-2025-38047

In the Linux kernel, the following vulnerability has been resolved: x86/fred: Fix system hang during S4 resume with FRED enabled Upon a wakeup from S4, the restore kernel starts and initializes the FRED MSRs as needed from its perspective. It then loads a hibernation image, including the image...

Tracking GPTs Third Party Service: Automation, Analysis, and Insights

ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosystems, OpenAI allows developers to create applications that interact with third-party services, known as GPTs. GPTs ca...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in Linux kernel that stems from x86 FRED not properly resetting the MSR value during S4 recovery...

Rubber Mallet: a Study of High Frequency Localized Bit Flips and Their Impact on Security

The increasing density of modern DRAM has heightened its vulnerability to Rowhammer attacks, which induce bit flips by repeatedly accessing specific memory rows. This paper presents an analysis of bit flip patterns generated by advanced Rowhammer techniques that bypass existing hardware defenses...

Efficient Malware Detection with Optimized Learning on High-Dimensional Features

Malware detection using machine learning requires feature extraction from binary files, as models cannot process raw binaries directly. A common approach involves using LIEF for raw feature extraction and the EMBER vectorizer to generate 2381-dimensional feature vectors. However, the high...

Out-of-Bounds

Overview Affected versions of this package are vulnerable to Out-of-Bounds via the tokentopiece function in the file llama-vocab.cpp. An attacker can cause arbitrary memory corruption and potentially execute code by supplying a specially crafted GGUF model that triggers a buffer overflow during...

DEBIAN-CVE-2025-49847

llama.cpp is an inference of several LLM models in C/C++. Prior to version b5662, an attacker‐supplied GGUF model vocabulary can trigger a buffer overflow in llama.cpp’s vocabulary‐loading code. Specifically, the helper trycopy in llama.cpp/src/vocab.cpp: llamavocab::impl::tokentopiece casts a ve...

CVE-2025-49847

CVE-2025-49847 affects llama.cpp: prior to v5662, an attacker-supplied GGUF vocabulary can trigger a buffer overflow in the vocabulary-loading path. The root cause is in llama_vocab::impl::token_to_piece(), where a large size_t token length is cast to int32_t, bypassing the length check and causi...