CVE-2026-82638
7.5Jina AI · reader
Jina AI reader contains a server-side request forgery vulnerability that allows unauthenticated attackers to bypass private-address protections when deployed outside of Google Cloud environments.
Executive summary
A critical server-side request forgery vulnerability in Jina AI reader permits unauthenticated attackers to access sensitive cloud metadata and internal service content.
Vulnerability
The application implements a private-address guard that is conditionally disabled based on the presence of specific environment variables related to Google Cloud. Because this guard is inactive in non-GCP deployments, unauthenticated attackers can supply malicious hostnames to force the server to perform requests against internal, non-public IP addresses.
Business impact
The ability to perform server-side request forgery (SSRF) poses a significant risk to organizational confidentiality. Attackers can leverage this flaw to exfiltrate sensitive cloud metadata, internal configuration data, or private service credentials. With a CVSS score of 7.5, this high-severity issue could lead to a full compromise of the internal environment if the reader service has access to sensitive network segments or cloud-native identity services.
Remediation
Immediate Action: Review the deployment environment for Jina AI reader and ensure that network-level controls are in place to restrict outbound traffic to internal resources. Monitor vendor release channels for a patch that enforces the private-address guard regardless of the hosting environment.
Proactive Monitoring: Inspect application and network logs for outbound requests originating from the reader service that resolve to private or loopback IP address ranges, such as 169.254.169.254.
Compensating Controls: Implement an egress filtering policy on the host or container network to prevent the application from communicating with internal infrastructure and metadata services.
Exploitation status
Public Exploit Available: Unknown
Analyst recommendation
This vulnerability represents a significant architectural weakness that exposes internal assets to external attackers. Administrators should prioritize network segmentation and egress filtering immediately to prevent unauthorized access to internal services. Once a vendor patch is released, it must be applied with high urgency to establish a secure default state for the application.
Sources
Originally found and disclosed by George Chen, per the CVE Program record.
- GitHub Issue #1253 Issue tracker
- github.com
- Technical analysis
- VulnCheck Advisory: jina-ai reader Server-Side Request Forgery via disabled private-address guard Third-party advisory