EUVD-2025-27428

Malicious code in bioql PyPI...

A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs

Code-generating Large Language Models LLMs significantly accelerate software development. However, their frequent generation of insecure code presents serious risks. We present a comprehensive evaluation of seven parameter-efficient fine-tuning PEFT techniques, demonstrating substantial gains in...

CVE-2025-55047

CWE-798 Use of Hard-coded Credentials...

CVE-2025-55051

CVE-2025-55051 corresponds to CWE-1392 (Use of Default Credentials) with a CVSSv3.1 base score 10.0 (CRITICAL, NETWORK, no user interaction) affecting Baicells devices: Nova436Q; Nova430e/430i; NEUTRINO430; NOVA846. Root cause stated: default credentials being used leads to security feature bypas...

CVE-2025-55047

Baicells SPECTRA LTE-U eNB outdoor base station is affected by a trust management issue described as hard-coded credentials (CVE-2025-55047). Root cause: hard-coded credentials leading to potential security feature bypass. Impact: unauthorized access or bypass of security features as indicated by...

PT-2025-36925

Name of the Vulnerable Software and Affected Versions: The product name cannot be determined. affected versions not specified Description: The issue involves the use of default credentials. Recommendations: At the moment, there is no information about a newer version that contains a fix for this...

PT-2025-36923

Name of the Vulnerable Software and Affected Versions: affected versions not specified Description: The software utilizes a default cryptographic key. This practice compromises the security of the system, as the key is publicly known and can be exploited by malicious actors to gain unauthorized...

An Empirical Study of Vulnerabilities in Python Packages and Their Detection

In the rapidly evolving software development landscape, Python stands out for its simplicity, versatility, and extensive ecosystem. Python packages, as units of organization, reusability, and distribution, have become a pressing concern, highlighted by the considerable number of vulnerability...

VulRTex: a Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report

Software vulnerabilities exist in open-source software OSS, and the developers who discover these vulnerabilities may submit issue reports IRs to describe their details. Security practitioners need to spend a lot of time manually identifying vulnerability-related IRs from the community, and the...

CVE-2025-56608

The CVE-2025-56608 entry concerns the SourceCodester Android app “Corona Virus Tracker App India” v1.0. The issue is in OkHttpClientWrapper.java, where handleDigest() hashes credentials with MD5 via MessageDigest.getInstance("MD5"). MD5 is used for digest authentication, introducing weaknesses su...

CVE-2025-54199 Substance3D - Modeler | Out-of-bounds Read (CWE-125)

Substance3D - Modeler versions 1.22.0 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. Exploitation of this issue requires user interaction in that a victim must open a malicious file...

CVE-2025-32766

A stack-based buffer overflow vulnerability CWE-121 in Fortinet FortiWeb CLI version 7.6.0 through 7.6.3 and before 7.4.8 allows a privileged attacker to execute arbitrary code or commands via crafted CLI commands...

CVE-2025-49813

CVE-2025-49813 describes an OS Command Injection in Fortinet FortiADC. The vulnerability arises from improper neutralization of special elements in OS commands, affecting FortiADC versions 7.2.0 and earlier than 7.1.1. An authenticated, low-privilege remote attacker can craft HTTP parameters to e...

CVE-2025-49559 Adobe Commerce | Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22)

Adobe Commerce versions 2.4.9-alpha1, 2.4.8-p1, 2.4.7-p6, 2.4.6-p11, 2.4.5-p13, 2.4.4-p14 and earlier are affected by an Improper Limitation of a Pathname to a Restricted Directory 'Path Traversal' vulnerability that could result in a security feature bypass. An attacker could leverage this...

curl: Unsafe Global IFS Modification in OS400 Shell Script Enables Command Injection and Parsing Flaws (CWE-78/CWE-20)

In the curl source repository, the OS400 initialization script packages/OS400/make-incs.sh modifies the global shell variable IFS Internal Field Separator without local scoping or restoration. This pattern exposes users and CI/CD systems to unintended parsing, command injection, and logic errors ...

Adobe Photoshop 25.x < 25.12.4 / 26.x < 26.9 Vulnerability (macOS APSB25-75)

The version of Adobe Photoshop installed on the remote macOS or Mac OS X host is prior to 25.12.4/26.9. It is, therefore, affected by a vulnerability as referenced in the apsb25-75 advisory. - Out-of-bounds Write CWE-787 potentially leading to Arbitrary code execution CVE-2025-49570 Note that...

No CWE? No Excuse. Why Classification Gaps Are a Hacker’s Dream

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all on CAASM & CDMB Inefficiencies! In cybersecurity, we obsess over...

Pgpool-II vulnerable to authentication bypass by primary weakness

Overview Pgpool-II provided by PgPool Global Development Group contains the following vulnerability. Authentication bypass by primary weakness CWE-305 - CVE-2025-46801 PgPool Global Development Group reported this vulnerability to IPA to notify users of its solution through JVN. JPCERT/CC and...

LASHED: LLMs and Static Hardware Analysis for Early Detection of RTL Bugs

While static analysis is useful in detecting early-stage hardware security bugs, its efficacy is limited because it requires information to form checks and is often unable to explain the security impact of a detected vulnerability. Large Language Models can be useful in filling these gaps by...

Secure Coding with AI, from Creation to Inspection

While prior studies have explored security in code generated by ChatGPT and other Large Language Models, they were conducted in controlled experimental settings and did not use code generated or provided from actual developer interactions. This paper not only examines the security of code generat...