Focus on turms-im vulnerabilities and metrics.
Last updated: 16 Jan 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with turms-im. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total turms-im CVEs: 5
Earliest CVE date: 19 Dec 2025, 15:15 UTC
Latest CVE date: 19 Dec 2025, 16:15 UTC
Latest CVE reference: CVE-2025-66906
30-day Count (Rolling): 5
365-day Count (Rolling): 5
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): 0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): 0.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 5 |
| 4.0-6.9 | 0 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for turms-im, sorted by severity first and recency.
Cross Site Request Forgery (CSRF) vulnerability in Turms Admin API thru v0.10.0-SNAPSHOT allows attackers to gain escalated privileges.
Turms IM Server v0.10.0-SNAPSHOT and earlier contains a broken access control vulnerability in the user online status query functionality. The handleQueryUserOnlineStatusesRequest() method in UserServiceController.java allows any authenticated user to query the online status, device information, and login timestamps of arbitrary users without proper authorization checks.
Turms Server v0.10.0-SNAPSHOT and earlier contains a plaintext password storage vulnerability in the administrator authentication system. The BaseAdminService class caches administrator passwords in plaintext within AdminInfo objects to optimize authentication performance. Upon successful login, raw passwords are stored unencrypted in memory in the rawPassword field. Attackers with local system access can extract these passwords through memory dumps, heap analysis, or debugger attachment, bypassing bcrypt protection.
Turms AI-Serving module v0.10.0-SNAPSHOT and earlier contains an image decompression bomb denial of service vulnerability. The ExtendedOpenCVImage class in ai/djl/opencv/ExtendedOpenCVImage.java loads images using OpenCV's imread() function without validating dimensions or pixel count before decompression. An attacker can upload a specially crafted compressed image file (e.g., PNG) that is small when compressed but expands to gigabytes of memory when loaded. This causes immediate memory exhaustion, OutOfMemoryError, and service crash. No authentication is required if the OCR service is publicly accessible. Multiple requests can completely deny service availability.
Turms AI-Serving module v0.10.0-SNAPSHOT and earlier contains an improper file type validation vulnerability in the OCR image upload functionality. The OcrController in turms-ai-serving/src/main/java/im/turms/ai/domain/ocr/controller/OcrController.java uses the @FormData(contentType = MediaTypeConst.IMAGE) annotation to restrict uploads to image files, but this constraint is not properly enforced. The system relies solely on client-provided Content-Type headers and file extensions without validating actual file content using magic bytes (file signatures). An attacker can upload arbitrary file types including executables, scripts, HTML, or web shells by setting the Content-Type header to "image/*" or using an image file extension. This bypass enables potential server-side code execution, stored XSS, or information disclosure depending on how uploaded files are processed and served.