CVE-2026-7208 Yealink SIP-T33G < 124.87.0.0 Race Condition via Diagnostic File Deletion

Yealink SIP-T33G firmware versions 124.86.x.x prior to 124.87.0.0 contain a race condition vulnerability that allows authenticated attackers to interrupt active diagnostic processes by concurrently deleting output files written to predictable paths under the diagnostic directory. Attackers can...

CVE-2026-49135

CodexBar prior to 0.32.0 contains an insecure temporary file handling vulnerability that allows local attackers to access sensitive credentials or tamper with build artifacts by exploiting predictable file paths in the release notarization workflow. Attackers with access to the same host can read...

PT-2026-45558

Name of the Vulnerable Software and Affected Versions CodexBar versions prior to 0.32.0 Description Insecure temporary file handling in the release notarization workflow allows local attackers to access sensitive credentials or tamper with build artifacts. This is possible by exploiting predictab...

CVE-2026-49135: Insecure Temporary File

CodexBar prior to 0.32.0 contains an insecure temporary file handling vulnerability that allows local attackers to access sensitive credentials or tamper with build artifacts by exploiting predictable file paths in the release notarization workflow. Attackers with access to the same host can read...

CVE-2026-48693: Improper Link Resolution Before File Access

FastNetMon Community Edition through 1.2.9 is vulnerable to a local symlink attack via predictable file paths in /tmp. The statistics file path defaults to '/tmp/fastnetmon.dat' src/fastnetmon.cpp line 159. The printscreencontentsintofile function src/fastnetmonlogic.cpp line 2186 opens this path...

FastNetMon 安全漏洞

FastNetMon is a high-performance DDoS detector/sensor developed by Pavel Odintsov. It is built using multiple packet capture engines. Versions of FastNetMon Community Edition prior to 1.2.9 contained security vulnerabilities. These vulnerabilities stemmed from the use of predictable file paths an...

CVE-2023-54346

WordPress Plugin Backup Migration 1.2.8 contains an information disclosure vulnerability that allows unauthenticated attackers to download complete database backups by accessing predictable file paths. Attackers can enumerate backup directories through configuration files and complete logs, then...

CVE-2023-54346 WordPress Plugin Backup Migration 1.2.8 Unauthenticated Database Backup Download

WordPress Plugin Backup Migration 1.2.8 contains an information disclosure vulnerability that allows unauthenticated attackers to download complete database backups by accessing predictable file paths. Attackers can enumerate backup directories through configuration files and complete logs, then...

CVE-2023-54346: Insertion of Sensitive Information into Externally-Accessible File or Directory

WordPress Plugin Backup Migration 1.2.8 contains an information disclosure vulnerability that allows unauthenticated attackers to download complete database backups by accessing predictable file paths. Attackers can enumerate backup directories through configuration files and complete logs, then...

CVE-2025-12648

CVE-2025-12648 (WP-Members Membership Plugin) is a disclosed vulnerability where unauthenticated actors can access user-uploaded documents via direct URLs due to files being stored in predictable directories (wp-content/uploads/wpmembers/user_files//) with only basic directory protections (e.g., ...

CVE-2025-48869

Horilla is a free and open source Human Resource Management System HRMS. Unauthenticated users can access uploaded resume files in Horilla 1.3.0 by directly guessing or predicting file URLs. These files are stored in a publicly accessible directory, allowing attackers to retrieve sensitive...

Unrestricted access to predictable file paths in hov/jobfair

An issue was discovered in the jobfair aka Job Fair extension before 1.0.13 and 2.x before 2.0.2 for TYPO3. The extension fails to protect or obfuscate filenames of uploaded files. This allows unauthenticated users to download files with sensitive data by simply guessing the filename of uploaded...