EUVD-2026-20063

Ado::Sessions versions through 0.935 for Perl generates insecure session ids. The session id is generated from a SHA-1 hash seeded with the built-in rand function, the epoch time, and the PID. The PID will come from a small set of numbers, and the epoch time may be guessed, if it is not leaked fr...

firefox: thunderbird: Sandbox escape in the Responsive Design Mode component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Sandbox escape in the Responsive Design Mode component...

CVE-2026-27949

Plane is an an open-source project management tool. Prior to 1.3.0, a vulnerability was identified in Plane's authentication flow where a user's email address is included as a query parameter in the URL during error handling e.g., when an invalid magic code is submitted. Transmitting personally...

CVE-2026-27949 Plane Exposes User Email (PII and part of credential) in GET Parameter

Plane is an an open-source project management tool. Prior to 1.3.0, a vulnerability was identified in Plane's authentication flow where a user's email address is included as a query parameter in the URL during error handling e.g., when an invalid magic code is submitted. Transmitting personally...

CVE-2026-27949 Plane Exposes User Email (PII and part of credential) in GET Parameter

Plane is an an open-source project management tool. Prior to 1.3.0, a vulnerability was identified in Plane's authentication flow where a user's email address is included as a query parameter in the URL during error handling e.g., when an invalid magic code is submitted. Transmitting personally...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

PT-2026-31015

Plane is an an open-source project management tool. Prior to 1.3.0, a vulnerability was identified in Plane's authentication flow where a user's email address is included as a query parameter in the URL during error handling e.g., when an invalid magic code is submitted. Transmitting personally...

Understanding User Privacy Perceptions of GenAI Smartphones

GenAI smartphones, which natively embed generative AI at the system level, are transforming mobile interactions by automating a wide range of tasks and executing UI actions on behalf of users. Their superior capabilities rely on continuous access to sensitive and context-rich data, raising privac...

Comprehensive List of User Deception Techniques in Emails

Email remains a central communication medium, yet its long-standing design and interface conventions continue to enable deceptive attacks. This research note presents a structured list of 42 email-based deception techniques, documented with 64 concrete example implementations, organized around th...

Automating Cloud Security and Forensics through a Secure-By-Design Generative AI Framework

As cloud environments become increasingly complex, cybersecurity and forensic investigations must evolve to meet emerging threats. Large Language Models LLMs have shown promise in automating log analysis and reasoning tasks, yet they remain vulnerable to prompt injection attacks and lack forensic...

firefox: thunderbird: Sandbox escape in the Responsive Design Mode component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Sandbox escape in the Responsive Design Mode component...

"The System Will Choose Security over Humanity Every Time": Understanding Security and Privacy for U.S. Incarcerated Users

Digital devices like tablets, media players, and kiosks are increasingly deployed in U.S. prisons. These technologies can enable incarcerated people to access education, communicate with loved ones, and develop vital reentry skills. However, they can also introduce new privacy and security risks...

EUVD-2026-17585

The MS27102A Remote Spectrum Monitor is vulnerable to an authentication bypass that allows unauthorized users to access and manipulate its management interface. Because the device provides no mechanism to enable or configure authentication, the issue is inherent to its design rather than a...

CVE-2026-3356

The CVE-2026-3356 entry concerns the MS27102A Remote Spectrum Monitor, a device that exposes an authentication bypass vulnerability. The providedConnected documents (Red Hat, ENISA EUVD, NVD/NVD-related, CISA ICS advisory, AttackersKB, CVE listing, and PT-Security) consistently describe a flaw in...

CVE-2026-3356 Missing Authentication for Critical Function vulnerability in Anritsu Remote Spectrum Monitor

The MS27102A Remote Spectrum Monitor is vulnerable to an authentication bypass that allows unauthorized users to access and manipulate its management interface. Because the device provides no mechanism to enable or configure authentication, the issue is inherent to its design rather than a...

CVE-2026-3356

The MS27102A Remote Spectrum Monitor is vulnerable to an authentication bypass that allows unauthorized users to access and manipulate its management interface. Because the device provides no mechanism to enable or configure authentication, the issue is inherent to its design rather than a...

CVE-2026-30310

In its design for automatic terminal command execution, Sixth offers two options: Execute safe commands and Execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

CVE-2026-30310

Technical details not publicly available in the provided documents. Monitor for updates.

Sixth 安全漏洞

Sixth is an artificial intelligence code assistant developed by the Nigerian company Sixth. There is a security vulnerability in Sixth, which stems from its design, making it susceptible to prompt injection attacks, potentially leading to arbitrary command execution...

When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection

Machine-learning-based code vulnerability detection CVD has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet dependable vulnerability labeling remains expensive, noisy, and uneven across projects, languages, and CWE types, motivating...