GHSA-H4RM-MM56-XF63 Fickling vulnerable to detection bypass due to "builtins" blindness

Fickling's assessment Fickling started emitting AST nodes for builtins imports in order to match them during analysis https://github.com/trailofbits/fickling/commit/9f309ab834797f280cb5143a2f6f987579fa7cdf. Original report Summary Fickling works by Pickle bytecode -- AST -- Security analysis...

Fickling vulnerable to detection bypass due to "builtins" blindness

Fickling's assessment Fickling started emitting AST nodes for builtins imports in order to match them during analysis https://github.com/trailofbits/fickling/commit/9f309ab834797f280cb5143a2f6f987579fa7cdf. Original report Summary Fickling works by Pickle bytecode -- AST -- Security analysis...

Fickling has a bypass via runpy.run_path() and runpy.run_module()

Fickling's assessment runpy was added to the list of unsafe imports https://github.com/trailofbits/fickling/commit/9a2b3f89bd0598b528d62c10a64c1986fcb09f66. Original report Summary Fickling versions up to and including 0.1.6 do not treat Python’s runpy module as unsafe. Because of this, a malicio...

Realworld-for-Application_FUGIO_FirstFrameworkFuzzingDetectPOI

FUGIO Production Guide Introduction FUGIO is the firs...

Security Bulletin: IBM Operations Analytics - Log Analysis is affected by Denial-of-Service (DoS) due to use of jose4j library

Summary jose.4.j library in Apache Solr is used by IBM Operations Analytics - Log Analysis as part of the secure token-based authentication and encryption mechanisms. CVE-2024-29371. Vulnerability Details CVEID:CVE-2024-29371 DESCRIPTION: In jose4j before 0.9.5, an attacker can cause a...

Security Bulletin: IBM Operations Analytics - Log Analysis is affected by an improper input validation due to Apache Commons HttpClient

Summary Apache Commons HttpClient is used by IBM Operations Analytics - Log Analysis as part of the standards-based Java library for executing HTTP requests. CVE-2012-6153, CVE-2012-5783. Vulnerability Details CVEID:CVE-2012-6153 DESCRIPTION: http/conn/ssl/AbstractVerifier.java in Apache Commons...

CVE-2009-4839

Multiple cross-site scripting XSS vulnerabilities in Basic Analysis and Security Engine BASE, possibly 1.4.4 and earlier, allow remote attackers to inject arbitrary web script or HTML via unspecified parameters to 1 admin/baseroleadmin.php, 2 admin/baseuseradmin.php, 3 baseconfcontents.php, 4...

CVE-2009-4837

Multiple cross-site scripting XSS vulnerabilities in Basic Analysis and Security Engine BASE before 1.4.3.1 allow remote attackers to inject arbitrary web script or HTML via the 1 sig1 parameter to base/baseqrymain.php, or the time01 parameter to 2 base/basestatalerts.php or 3...

CVE-2009-4838

SQL injection vulnerability in baseagcommon.php in Basic Analysis and Security Engine BASE before 1.4.3.1 allows remote attackers to execute arbitrary SQL commands via unspecified parameters. NOTE: some of these details are obtained from third party information...

CVE-2022-33208

Authentication bypass by capture-replay vulnerability exists in Machine automation controller NJ series all models V 1.48 and earlier, Machine automation controller NX7 series all models V1.28 and earlier, Machine automation controller NX1 series all models V1.48 and earlier, Automation software...

CVE-2019-18932

log.c in Squid Analysis Report Generator sarg through 2.3.11 allows local privilege escalation. By default, it uses a fixed temporary directory /tmp/sarg. As the root user, sarg creates this directory or reuses an existing one in an insecure manner. An attacker can pre-create the directory, and...

CVE-2020-12788

CMAC verification functionality in Microchip Atmel ATSAMA5 products is vulnerable to vulnerable to timing and power analysis attacks...

CVE-2022-23496

Yet Another UserAgent Analyzer Yauaa is a java library that tries to parse and analyze the useragent string and extract as many relevant attributes as possible. Applications using the Client Hints analysis feature introduced with 7.0.0 can crash because the Yauaa library throws an...

Multi-Regional Cloud Honeypot Dataset (MURHCAD)

This data article introduces a comprehensive, high-resolution honeynet dataset designed to support standalone analyses of global cyberattack behaviors. Collected over a continuous 72-hour window June 9 to 11, 2025 on Microsoft Azure, the dataset comprises 132,425 individual attack events captured...

MAL-2026-168 Malicious code in @zuora-marketing/linting (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ddcfd1151af868e694a4a79307ce1284331ad88b8ff631651f3fd2c47fbf342a The package @zuora-marketing/linting was found to contain malicious code. Source: ossf-package-analysis...

MAL-2026-167 Malicious code in icon-service (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector c036555d918021fafe661296499aab549fac428c2b9cefb72670f63914dfa974 The package icon-service was found to contain malicious code. Source: ossf-package-analysis...

MAL-2026-165 Malicious code in @kyriba/mf-kit (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector fa1b2dd3479a677d975d11f8fe29e2cb24cbcc3a90c05081fa1632822c7c2f5a The package @kyriba/mf-kit was found to contain malicious code. Source: ghsa-malware 5316d385b586e69d62f54165ad5c9a973bf0bdfc3ef7023a0f7f53c784bb7131...

[SECURITY] Fedora 43 Update: python-pdfminer-20251230-1.fc43

Pdfminer.six is a community maintained fork of the original PDFMiner. It is a tool for extracting information from PDF documents. It focuses on getting and analyzing text data. Pdfminer.six extracts the text from a page directly from the sourcecode of the PDF. It can also be used to get the exact...

AI-Powered Algorithms for the Prevention and Detection of Computer Malware Infections

The rise in frequency and complexity of malware attacks are viewed as a major threat to modern digital infrastructure, which means that traditional signature-based detection methods are becoming less effective. As cyber threats continue to evolve, there is a growing need for intelligent systems t...

Webinar: Learn How AI-Powered Zero Trust Detects Attacks with No Files or Indicators

Security teams are still catching malware. The problem is what they're not catching. More attacks today don't arrive as files. They don't drop binaries. They don't trigger classic alerts. Instead, they run quietly through tools that already exist inside the environment — scripts, remote access,...