CVE-2025-63932

D-Link Router DIR-868L A1 FW106KRb01.bin has an unauthenticated remote code execution vulnerability in the cgibin binary. The HNAP service provided by cgibin does not filter the HTTP SOAPAction header field. The unauthenticated remote attacker can execute the shell command...

CVE-2025-63212

GatesAir Flexiva-LX devices on firmware 1.0.13 and 2.0, including models LX100, LX300, LX600, and LX1000, expose sensitive session identifiers sid in the publicly accessible log file located at /log/Flexiva%20LX.log. An unauthenticated attacker can retrieve valid session IDs and hijack sessions...

MINI-H2GV-P943-7WPP

Bulletin has no description...

MINI-F58J-43RC-M8F6

Bulletin has no description...

EUVD-2025-197952

There is a vulnerability in the Supermicro BMC web function at Supermicro MBD-X13SEDW-F. After logging into the BMC Web server, an attacker can use a specially crafted payload to trigger the Stack buffer overflow vulnerability...

CVE-2025-8727

There is a vulnerability in the Supermicro BMC web function at Supermicro MBD-X13SEDW-F. After logging into the BMC Web server, an attacker can use a specially crafted payload to trigger the Stack buffer overflow vulnerability...

CVE-2025-8727 A stack buffer overflow vulnerability exists in the Supermicro BMC Web function(SSL).

There is a vulnerability in the Supermicro BMC web function at Supermicro MBD-X13SEDW-F. After logging into the BMC Web server, an attacker can use a specially crafted payload to trigger the Stack buffer overflow vulnerability...

METZ CONNECT多款产品 代码问题漏洞

METZ CONNECT Energy-Controlling EWIO2-M and others are products of METZ CONNECT, Germany.METZ CONNECT Energy-Controlling EWIO2-M is a high performance data logger.METZ CONNECT Energy- Controlling EWIO2-M-BM is a high performance data logger.METZ CONNECT Ethernet-IO EWIO2-BM is a sensor and actuat...

CVE-2025-63883

A DOM-based cross-site scripting vulnerability exists in electic-shop v1.0 Bhabishya-123/E-commerce. The site's client-side JavaScript reads attacker-controlled input for example, values derived from the URL or page fragment and inserts it into the DOM via unsafe sinks...

CVE-2025-63602

A vulnerability was discovered in Awesome Miner thru 11.2.4 that allows arbitrary read and write to kernel memory and MSRs such as LSTAR as an unprivileged user. This is due to the implementation of an insecure version of WinRing0 1.2.0.5, renamed to IntelliBreeze.Maintenance.Service.sys that lac...

EUVD-2025-198044

A vulnerability was discovered in Awesome Miner thru 11.2.4 that allows arbitrary read and write to kernel memory and MSRs such as LSTAR as an unprivileged user. This is due to the implementation of an insecure version of WinRing0 1.2.0.5, renamed to IntelliBreeze.Maintenance.Service.sys that lac...

PT-2025-47250

Name of the Vulnerable Software and Affected Versions Supermicro BMC versions affected versions not specified Description A stack buffer overflow vulnerability exists in the web function of the Supermicro BMC on the Supermicro MBD-X13SEDW-F. An attacker gaining access to the BMC Web server can...

MGASA-2025-0300 Updated firefox packages fix security vulnerabilities

Race condition in the Graphics component. CVE-2025-13012 Mitigation bypass in the DOM: Core & HTML component. CVE-2025-13013 CVE-2025-13014: Use-after-free in the Audio/Video component. CVE-2025-13014 Spoofing issue in Firefox. CVE-2025-13015 Incorrect boundary conditions in the JavaScript:...

MalRAG: A Retrieval-Augmented LLM Framework for Open-Set Malicious Traffic Identification

Fine-grained identification of IDS-flagged suspicious traffic is crucial in cybersecurity. In practice, cyber threats evolve continuously, making the discovery of novel malicious traffic a critical necessity as well as the identification of known classes. Recent studies have advanced this goal wi...

Interpretable Ransomware Detection Using Hybrid Large Language Models: A Comparative Analysis of BERT, RoBERTa, and DeBERTa through LIME and SHAP

Ransomware continues to evolve in complexity, making early and explainable detection a critical requirement for modern cybersecurity systems. This study presents a comparative analysis of three Transformer-based Large Language Models LLMs BERT, RoBERTa, and DeBERTa for ransomware detection using...

LogPurge: Log Data Purification for Anomaly Detection Via Rule-Enhanced Filtering

Log anomaly detection, which is critical for identifying system failures and preempting security breaches, detects irregular patterns within large volumes of log data, and impacts domains such as service reliability, performance optimization, and database log analysis. Modern log anomaly detectio...

Whose Narrative Is It Anyway? A KV Cache Manipulation Attack

The Key ValueKV cache is an important component for efficient inference in autoregressive Large Language Models LLMs, but its role as a representation of the model's internal state makes it a potential target for integrity attacks. This paper introduces "History Swapping," a novel block-level...

CVE-2025-13189 D-Link DIR-816L gena.cgi genacgi_main stack-based overflow

A vulnerability has been found in D-Link DIR-816L 206b09beta. This affects the function genacgimain of the file gena.cgi. The manipulation of the argument SERVERID/HTTPSID leads to stack-based buffer overflow. The attack is possible to be carried out remotely. The exploit has been disclosed to th...

GRAPHTEXTACK: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs

Text-attributed graphs TAGs, which combine structural and textual node information, are ubiquitous across many domains. Recent work integrates Large Language Models LLMs with Graph Neural Networks GNNs to jointly model semantics and structure, resulting in more general and expressive models that...

RulePilot: An LLM-Powered Agent for Security Rule Generation

The real-time demand for system security leads to the detection rules becoming an integral part of the intrusion detection life-cycle. Rule-based detection often identifies malicious logs based on the predefined grammar logic, requiring experts with deep domain knowledge for rule generation...