CVE-2025-40603

A potential exposure of sensitive information in log files in SonicWall SMA100 Series appliances may allow a remote, authenticated administrator, under certain conditions to view partial users credential data...

Amazon Linux 2023 : amazon-cloudwatch-agent (ALAS2023-2025-1224)

It is, therefore, affected by a vulnerability as referenced in the ALAS2023-2025-1224 advisory. go-viper's mapstructure May Leak Sensitive Information in Logs When Processing Malformed Data CVE-2025-11065 Tenable has extracted the preceding description block directly from the tested product...

Medium: amazon-cloudwatch-agent

Issue Overview: go-viper's mapstructure May Leak Sensitive Information in Logs When Processing Malformed Data CVE-2025-11065 Affected Packages: amazon-cloudwatch-agent Issue Correction: Run dnf update amazon-cloudwatch-agent --releasever 2023.9.20251014 or dnf update --advisory ALAS2023-2025-1224...

EUVD-2018-6886

Malware in sbrugna...

EUVD-2011-2753

Malware in sbrugna...

EUVD-2021-0045

Malware in sbrugna...

EUVD-2009-4458

Malware in sbrugna...

EUVD-2014-4284

Malware in sbrugna...

EUVD-2022-41789

Malicious code in bioql PyPI...

EUVD-2025-19634

Malicious code in bioql PyPI...

EUVD-2022-7775

Malicious code in bioql PyPI...

CVE-2025-10217

A vulnerability exists in Asset Suite for an authenticated user to manipulate the content of performance related log data or to inject crafted data in logfile for potentially carrying out further malicious attacks. Performance logging is typically enabled for troubleshooting purposes while...

Hitachi Energy Asset Suite 安全漏洞

Hitachi Energy Asset Suite is a powerful suite from Hitachi, Ltd Hitachi, Japan. standardizes and simplifies enterprise asset management workflows to maximize employee productivity and improve asset performance. A security vulnerability exists in Hitachi Energy Asset Suite that originates from an...

httpd: insufficient escaping of user-supplied data in mod_ssl

A vulnerability was found in the Apache HTTP Server. Insufficient escaping of user-supplied data in modssl allows an untrusted SSL/TLS client to insert escape characters into log files in some configurations. In a logging configuration where CustomLog is used with "%varnamex" or "%varnamec" to...

httpd: insufficient escaping of user-supplied data in mod_ssl

A vulnerability was found in the Apache HTTP Server. Insufficient escaping of user-supplied data in modssl allows an untrusted SSL/TLS client to insert escape characters into log files in some configurations. In a logging configuration where CustomLog is used with "%varnamex" or "%varnamec" to...

Linux Distros Unpatched Vulnerability : CVE-2009-4487

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - nginx 0.7.64 writes data to a log file without sanitizing non-printable characters, which might allow remote attackers to modify a window's title, or possibly...

Cisco Duo Authentication Proxy 信息泄露漏洞

Cisco Duo Authentication Proxy is a local security service from Cisco. An information disclosure vulnerability exists in Cisco Duo Authentication Proxy, which stems from insufficient masking of sensitive information in the system log file, which could lead to an elevated privilege user viewing...

CVE-2025-24520

CVE-2025-24520 affects Intel® Local Manageability Service prior to 2514.7.16.0. Inserting sensitive information into a log file may allow an authenticated local attacker to disclose data. Remediation: update LMS to 2514.7.16.0 or later. No exploitation details are provided in the documents; CVSS ...

Intel Local Manageability Service 日志信息泄露漏洞

Intel Local Manageability Service is a management engine from Intel Corporation USA designed to help IT administrators manage computers and devices in an organization over a local network or remote connection. A log information disclosure vulnerability exists in Intel Local Manageability Service...

LMDG: Advancing Lateral Movement Detection through High-Fidelity Dataset Generation

Lateral Movement LM attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this...