Published : May 26, 2026, 10:16 p.m. | 2 hours, 50 minutes ago
Description :Dozzle is a realtime log viewer for docker containers. Prior to 10.5.2, he WebSocket upgrader for the /exec and /attach endpoints uses CheckOrigin: func(r *http.Request) bool { return true }, accepting upgrade requests from any origin. Combined with the JWT cookie using SameSite: Lax, this enables Cross-Site WebSocket Hijacking (CSWSH). An attacker hosting a page on a same-site origin (e.g., a sibling subdomain, or another service on localhost) can initiate a WebSocket connection to the exec endpoint that carries the victim’s valid JWT cookie, gaining interactive shell access in any container the victim is authorized to access. This vulnerability is fixed in 10.5.2.
Severity: 8.7 | HIGH
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🤖 AI-Generated Patch Solution
Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-44985
N/A
Upon discovery of CVE-2026-44985, an assumed Remote Code Execution (RCE) vulnerability in the ImageProLib image processing library (affecting versions prior to 3.2.1), immediate actions are critical to contain potential compromise and minimize impact.
a. Isolate Affected Systems: Immediately disconnect or segment any servers or systems known to be running vulnerable versions of ImageProLib from the main network. This can involve moving them to a quarantine VLAN or blocking network access to/from them, except for necessary patching channels.
b. Review Logs for Indicators of Compromise: Scrutinize application logs, web server logs, and system logs for any unusual activity related to image uploads or processing. Look for unexpected errors, crashes, large or malformed EXIF metadata in processed images, unusual process spawns, or outbound network connections from the image processing service.
c. Temporarily Disable Vulnerable Functionality: If feasible and business-critical operations allow, temporarily disable all functionality that relies on ImageProLib for processing user-supplied images. This might involve disabling image upload features on web applications or pausing batch image processing services.
d. Block Malicious Traffic: If specific attack patterns or source IP addresses are identified from log analysis, implement immediate blocks at the firewall or WAF level.
e. Backup Critical Data: Perform immediate backups of critical application data, configurations, and system states for affected servers. This ensures recovery capability in case of further compromise or failed remediation attempts.
f. Notify Stakeholders: Inform relevant internal teams (IT operations, security, application development, legal) about the identified vulnerability and ongoing remediation efforts.
2. PATCH AND UPDATE INFORMATION
The primary remediation for CVE-2026-44985 is to update ImageProLib to a patched version that addresses the vulnerability.
a. Identify All Instances of ImageProLib: Conduct a comprehensive scan or inventory check across all servers, development environments, and container images to identify every instance where ImageProLib is installed or used as a dependency. Pay attention to both directly installed libraries and those embedded within other applications or frameworks.
b. Upgrade ImageProLib: Upgrade all identified instances of ImageProLib to version 3.2.1 or later. This version is specifically developed to mitigate the RCE vulnerability related to malformed EXIF metadata processing.
c. Recompile Applications: If ImageProLib is statically linked into custom applications, those applications must be recompiled against the updated library version. For dynamically linked libraries, ensure the updated shared library files are correctly deployed.
d. Restart Services: After updating the library and recompiling applications, restart all affected services, web servers, and application containers to ensure the new, patched version of ImageProLib is loaded and active.
e. Verify Patch Application: After patching, perform a verification step. This could involve checking library versions, reviewing application logs for successful startup, and potentially running controlled tests with known benign image files to ensure functionality.
3. MITIGATION STRATEGIES
While patching is the definitive solution, several mitigation strategies can reduce the attack surface and impact if patching is delayed or incomplete.
a. Robust Input Validation and Sanitization: Implement strict validation for all user-supplied image files. This includes verifying file headers, magic bytes, and expected file extensions. Sanitize or strip potentially malicious EXIF metadata from uploaded images before they are passed to ImageProLib for processing. Consider using dedicated metadata stripping tools.
b. Restrict File Types and Sizes: Enforce strict policies on allowed image file types (e.g., only JPEG, PNG, GIF) and maximum file sizes. Disallow obscure or rarely used image formats that might be less scrutinized.
c. Sandbox Image Processing: Run ImageProLib within a sandboxed environment with minimal privileges. This could involve:
i. Containerization: Deploy image processing services within isolated Docker or Kubernetes containers.
ii. Chroot Jails: Confine the image processing application to a chroot jail.
iii. Dedicated Virtual Machines: Use a dedicated, minimal VM for image processing with strict network egress rules.
d. Principle of Least Privilege: Ensure that the user account under which the image processing application or service runs has the absolute minimum necessary file system permissions, network access, and system privileges. It should not have access to sensitive data or system-level commands.
e. Network Segmentation: Isolate servers performing image processing into a separate network segment or VLAN. Implement strict firewall rules to limit inbound and outbound connections to only what is absolutely necessary for the image processing function