CVE-2026-50775 Overview
CVE-2026-50775 is a blind Server-Side Request Forgery (SSRF) vulnerability in DataHub v1.5.0.1. The flaw resides in an image retrieval feature where the server fetches remote content from a user-supplied URL. Because the server suppresses response content and error messages, the SSRF is blind, complicating detection while still enabling attackers to reach internal services. According to the published advisory, a remote unauthenticated attacker can leverage this behavior to execute arbitrary code. The weakness is classified under CWE-918: Server-Side Request Forgery.
Critical Impact
Unauthenticated attackers can pivot into internal networks through DataHub's image fetcher and achieve arbitrary code execution on the affected server.
Affected Products
- DataHub v1.5.0.1
Discovery Timeline
- 2026-08-17 - CVE-2026-50775 published to NVD
- 2026-08-18 - Last updated in NVD database
Technical Details for CVE-2026-50775
Vulnerability Analysis
DataHub v1.5.0.1 exposes functionality that instructs the server to retrieve an image from an attacker-controlled URL. The application does not validate or restrict the destination of that request. The server issues outbound HTTP requests to arbitrary hosts, including internal-only endpoints normally shielded from external callers. The response body and any errors are discarded before returning to the client, producing the blind SSRF condition.
The advisory states that this SSRF condition is chainable to arbitrary code execution. Attackers commonly reach this outcome by targeting internal metadata services, unauthenticated management interfaces, or object deserialization endpoints reachable only from the DataHub host. Once an internal service accepts attacker-controlled input via the forged request, code execution follows on the DataHub server or an adjacent internal system.
Root Cause
The root cause is missing validation of user-supplied URLs before the server initiates an outbound fetch. DataHub does not enforce an allow-list of hosts, does not resolve and reject private or link-local address ranges, and does not restrict URL schemes. Suppression of upstream response content and errors further obscures the vulnerable path from defenders.
Attack Vector
Exploitation requires only network access to the DataHub instance. An attacker submits a crafted URL to the image-retrieval feature. DataHub then issues the outbound request server-side. By pointing the URL at internal services (for example, cloud instance metadata endpoints, loopback administrative interfaces, or internal RPC listeners), the attacker forces the server to perform actions it would not permit from external clients, leading to code execution.
No verified exploit code has been published. See the GitHub CVE Repository for CVE-2026-50775 for the technical writeup.
Detection Methods for CVE-2026-50775
Indicators of Compromise
- Outbound HTTP requests from the DataHub server process to private RFC 1918 address ranges, 127.0.0.1, 169.254.169.254, or other internal-only hosts.
- Image-fetch requests to DataHub containing URLs pointing to non-image resources, unusual ports, or non-HTTP schemes.
- Unexpected child processes spawned by the DataHub application user following image-retrieval activity.
- Anomalous DNS resolutions from the DataHub host toward attacker-controlled domains preceding internal lookups.
Detection Strategies
- Instrument the DataHub host with egress monitoring that flags outbound requests to link-local, loopback, and internal address space.
- Correlate inbound HTTP requests to the image-retrieval endpoint with the destination of subsequent server-initiated fetches.
- Alert on process-execution telemetry showing the DataHub service account launching shells, interpreters, or network utilities.
Monitoring Recommendations
- Forward web server, application, and proxy logs to a centralized analytics platform and retain them for retrospective hunting.
- Baseline normal outbound destinations for DataHub and alert on deviations, especially traffic to cloud metadata IPs.
- Monitor for high-frequency URL submissions to image endpoints, which may indicate SSRF probing of internal ranges.
How to Mitigate CVE-2026-50775
Immediate Actions Required
- Restrict network egress from the DataHub server so it cannot reach internal management interfaces, cloud metadata services, or other sensitive endpoints.
- Place DataHub behind an authenticating reverse proxy and limit access to the image-retrieval feature to trusted users only.
- Audit recent application logs for suspicious URLs submitted to image-fetch endpoints and for unexpected outbound connections from the DataHub host.
Patch Information
No vendor patch is referenced in the enriched CVE data at the time of publication. Consult the DataHub Resource Overview and the GitHub CVE Repository for CVE-2026-50775 for the latest remediation guidance and to confirm whether a fixed release beyond v1.5.0.1 is available.
Workarounds
- Enforce a strict allow-list of external hosts that DataHub is permitted to fetch from, and reject all others at the proxy layer.
- Block DNS resolution of internal domains and private ranges from the DataHub service account or container.
- Disable the image-retrieval feature entirely if it is not required for production use.
- Deploy IMDSv2 or equivalent hardening on cloud metadata services to prevent SSRF-driven credential theft.
# Configuration example: egress restriction via iptables (illustrative)
# Block DataHub host from reaching cloud metadata and private ranges
iptables -A OUTPUT -m owner --uid-owner datahub -d 169.254.169.254 -j REJECT
iptables -A OUTPUT -m owner --uid-owner datahub -d 10.0.0.0/8 -j REJECT
iptables -A OUTPUT -m owner --uid-owner datahub -d 172.16.0.0/12 -j REJECT
iptables -A OUTPUT -m owner --uid-owner datahub -d 192.168.0.0/16 -j REJECT
iptables -A OUTPUT -m owner --uid-owner datahub -d 127.0.0.0/8 -j REJECT
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
