The NIST Elliptic Curves Seeds Bounty Has Been Claimed

We now know how the seeds of the NIST elliptic curves were generated: they’re not the hash of some saucy sentence, but the output of drand48 seeded with the time, which was indeed in 1997–98. John Wood, Henry de Valence, Ava Howell, Zack Voase, Lucy Sweet, Amir Omidi, Paul Crowley, Iain McGinniss...

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing

Directed fuzzing steers fuzzers toward user-defined sink functions to identify vulnerabilities, but it frequently fails to trigger crashes even after long campaigns. We identify two challenges that prevent directed fuzzers from exposing crashes: incomplete static analysis of indirect calls, which...

Fedora 44 : perl-Crypt-DSA (2026-cdcb20089b)

The remote Fedora 44 host has a package installed that is affected by multiple vulnerabilities as referenced in the FEDORA-2026-cdcb20089b advisory. This update fixes a couple of security issues: Replace two arg open CVE-2026-8704 Replace rand with a cryptographically-secure source of random data...

CVE-2026-8700

Crypt::DSA versions before 1.20 for Perl generate seeds using rand. Seeds were generated using Perl's built-in rand function, which is predictable and unsuitable for security usage...

CVE-2026-8700 Crypt::DSA versions before 1.20 for Perl generate seeds using rand

Crypt::DSA versions before 1.20 for Perl generate seeds using rand. Seeds were generated using Perl's built-in rand function, which is predictable and unsuitable for security usage...

CVE-2026-8700

The Crypt::DSA digital signature package for Perl, versions before 1.20 , contains a vulnerability where seeds are generated using Perl's built-in rand function. This function is predictable and unsuitable for security purposes, leading to insufficient entropy . An attacker can exploit this weakn...

PT-2026-41376

Name of the Vulnerable Software and Affected Versions Crypt::DSA versions prior to 1.20 Description Seeds are generated using the built-in rand function in Perl, which is predictable and unsuitable for security purposes. Recommendations Update to version 1.20 or later...

AFL-ICP: Enhancing Industrial Control Protocol Reliability Via Specification-Guided Fuzzing

Industrial Control Protocols ICPs are critical to the reliability and stability of industrial infrastructure, yet their security is fundamentally compromised by a specification-blindness bottleneck. Modern fuzzers, constrained by observation-driven inference, struggle to penetrate deep protocol...

SDLLMFuzz: Dynamic-Static LLM-Assisted Greybox Fuzzing for Structured Input Programs

Fuzzing has become a widely adopted technique for vulnerability discovery, yet it remains ineffective for structured-input programs due to strict syntactic constraints and limited semantic awareness. Traditional greybox fuzzers rely on mutation-based strategies and coarse-grained coverage feedbac...

JPRO: Automated Multimodal Jailbreaking Via Multi-Agent Collaboration Framework

The widespread application of large VLMs makes ensuring their secure deployment critical. While recent studies have demonstrated jailbreak attacks on VLMs, existing approaches are limited: they require either white-box access, restricting practicality, or rely on manually crafted patterns, leadin...

EUVD-2000-0802

Malware in sbrugna...

EUVD-2024-47460

Malicious code in bioql PyPI...

Intelligent Graybox Fuzzing Via ATPG-Guided Seed Generation and Submodule Analysis

Hardware Fuzzing emerged as one of the crucial techniques for finding security flaws in modern hardware designs by testing a wide range of input scenarios. One of the main challenges is creating high-quality input seeds that maximize coverage and speed up verification. Coverage-Guided Fuzzing CGF...

CVE-2024-6348

Predictable seed generation in the security access mechanism of UDS in the Blind Spot Protection Sensor ECU in Nissan Altima 2022 allows attackers to predict the requested seeds and bypass security controls via repeated ECU resets and seed requests...

CVE-2024-6348

Predictable seed generation in the security access mechanism of UDS in the Blind Spot Protection Sensor ECU in Nissan Altima 2022 allows attackers to predict the requested seeds and bypass security controls via repeated ECU resets and seed requests...

CVE-2024-6348 Predictable seed generation after ECU reset

Predictable seed generation in the security access mechanism of UDS in the Blind Spot Protection Sensor ECU in Nissan Altima 2022 allows attackers to predict the requested seeds and bypass security controls via repeated ECU resets and seed requests...

CVE-2024-6348 Predictable seed generation after ECU reset

Predictable seed generation in the security access mechanism of UDS in the Blind Spot Protection Sensor ECU in Nissan Altima 2022 allows attackers to predict the requested seeds and bypass security controls via repeated ECU resets and seed requests...

CVE-2024-6348

CVE-2024-6348 affects the Nissan Altima 2022 Blind Spot Protection Sensor ECU, specifically the UDS security access seed generation. The root cause is predictable seed generation, enabling an attacker to forecast the requested seeds and bypass security controls by repeatedly resetting the ECU and...

PT-2024-37557 · Nissan · Nissan Altima Blind Spot Protection Sensor Ecu

Name of the Vulnerable Software and Affected Versions: Nissan Altima 2022 Blind Spot Protection Sensor ECU Description: The issue concerns predictable seed generation in the security access mechanism of UDS in the Blind Spot Protection Sensor ECU. This predictability allows attackers to forecast...

WPAxFuzz - A Full-Featured Open-Source Wi-Fi Fuzzer

This tool is capable of fuzzing either any management, control or data frame of the 802.11 protocol or the SAE exchange. For the management, control or data frames, you can choose either the "standard" mode where all of the frames transmitted have valid size values or the "random" mode where the...