4 Best Email Security Solutions to Keep Employee Inboxes Safe

Compare leading and best email security solutions with AI threat detection, phishing defense, malware blocking, and DLP features for teams...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-41894 via tensorflow (1.0.1)

tensorflow PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - chicksexer 0.2.2 - gender-detection 0.2.2 - moodleinspire 0.0.10 - moodlemlbackend =0.0.2, =1.0.0 Source cves: CVE-2022-41894 Source advisor...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-35986 via tensorflow (1.0.1)

tensorflow PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - chicksexer 0.2.2 - gender-detection 0.2.2 - moodleinspire 0.0.10 - moodlemlbackend =0.0.2, =1.0.0 Source cves: CVE-2022-35986 Source advisor...

aadhaar-detection (0.5.0), abmarl (>=0.1.1, <=0.1.3) +551 more potentially affected by CVE-2022-35986 via tensorflow (>=2.0.0, <=2.7.1)

tensorflow PYPI version =2.0.0, =0.1.1, =1.0.47, =1.0.0, =1.2.0, =1.1.5, =0.0.1, =2.1.0, =0.1.11, =0.1.11, =0.1.20 - aisaratuners 1.4.2 and more Source cves: CVE-2022-35986 Source advisory: OSV:PYSEC-2026-938...

chicksexer (0.2.2), gender-detection (0.2.2) +2 more potentially affected by CVE-2022-35998 via tensorflow (1.0.1)

tensorflow PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - chicksexer 0.2.2 - gender-detection 0.2.2 - moodleinspire 0.0.10 - moodlemlbackend =0.0.2, =1.0.0 Source cves: CVE-2022-35998 Source advisor...

SA-DRL: Security-Aware Deep Reinforcement Learning for Ransomware Detection with Asymmetric Reward Design

Ransomware detection is a security-critical task in which false negatives and false positives have unequal operational consequences. Conventional machine learning detectors often use symmetric objectives that penalize missed ransomware detections and benign false alarms equally, although a false...

Beyond the Syntax: Do Security Experts Trust LLMs for NIDS Rule Engineering?

As network threats evolve, manual NIDS rule engineering has become a critical operational bottleneck. While Large Language Models LLMs show promise for automating this process, their ability to produce production-ready rules remains unvalidated. This paper presents a human-centered investigation...

MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection

In the field of multivariate time series anomaly detection, against the backdrop of increasing data complexity and complex dependencies across multiple temporal scales, traditional methods often struggle to simultaneously capture temporal dynamic features and intricate inter-series correlations. ...

PT-2026-56200

Name of the Vulnerable Software and Affected Versions 389-ds-base affected versions not specified Description A flaw exists in the LDBM backend attribute encryption where a hardcoded static initialization vector is used for AES-CBC and 3DES-CBC operations. This allows an attacker with privileged...

Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

Large Language Models LLMs and generative AI GenAI systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks...

ai-soc-simulator

AI SOC Simulator 🛡️ A React-based web application designed to...

How to Evaluate an AI SOC Platform in 2026: 6 Capabilities That Separate Leaders from Bolt-On AI solutions

Building a shortlist for an AI SOC evaluation can be tough. SIEM, SOAR, and pureplay AI SOC vendors are all saying the same thing. But behind the identical label sit very different products, from chat assistants bolted onto a legacy SIEM to agent platforms that run detection, triage, investigatio...

CVE-2020-21833

creationtimestamp| type| source ---|---|--- 2026-07-06 02:17:49+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mpwzkrrpc22j...

F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

The rapid proliferation of Internet of things IoT devices has significantly expanded the cyber-attack surface, necessitating robust and privacy-preserving intrusion detection systems IDS. However, centralized learning approaches often suffer from severe performance degradation due to...

Strapi CMS 5.36.1 Security Misconfiguration Detection Scanner

This is a scanner designed to identify potential security misconfigurations in Strapi CMS instances without performing exploitation or data extraction...

WPProbe Plugin Enumeration Tool 0.12.4

A fast WordPress plugin and theme scanner that detects installed plugins via REST API enumeration and themes from HTML discovery, then maps them to known vulnerabilities. Over 5,000 plugins detectable without brute-force, thousands more with it...

Detecting Vulnerability-Inducing Commits Via Multi-Stage Reasoning with LLM-Based Agents

Detecting vulnerability-inducing commits VICs at submission time is critical for improving the security and reliability of software systems. However, this task is highly challenging because it requires reasoning about the semantic impact of code changes from heterogeneous information sources,...

Slate Digital Connect 1.37.0 Security Scanner

This Python script is a local security scanner designed to detect potential exposure related to Slate Digital Connect and its components associated with CVE-2026-24066 and CVE-2026-24067...

Nuclei 3.11.0

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection

With the increasing threat of malware across various software related domains, malware detection and classification is critical to determine the response actions. Different strategies have been adopted to address the challenge of malware detection. With the advent of deep learning techniques,...