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Vulnerability Database/CVE-2026-56261

CVE-2026-56261: Kidocode Crawl4ai SSRF Vulnerability

CVE-2026-56261 is an SSRF vulnerability in Kidocode Crawl4ai that allows attackers to exploit unvalidated webhook URLs to access internal services and cloud metadata. This article covers technical details, affected versions, and mitigations.

Published:

CVE-2026-56261 Overview

CVE-2026-56261 is a Server-Side Request Forgery (SSRF) vulnerability [CWE-918] in Crawl4AI versions before 0.8.7. The flaw resides in the Docker API server's /crawl/job and /llm/job endpoints. These endpoints accept webhook URLs from clients without validating the destination. An unauthenticated attacker can supply webhook URLs pointing to private IP ranges, internal Docker networks, or cloud metadata endpoints such as 169.254.169.254. The server then issues requests to those internal services on the attacker's behalf, potentially exposing cloud instance credentials and internal service data.

Critical Impact

Unauthenticated attackers can pivot into internal networks and exfiltrate cloud metadata credentials by abusing unvalidated webhook URL fields.

Affected Products

  • Kidocode Crawl4AI versions prior to 0.8.7
  • Crawl4AI Docker API server (/crawl/job endpoint)
  • Crawl4AI Docker API server (/llm/job endpoint)

Discovery Timeline

  • 2026-07-10 - CVE-2026-56261 published to NVD
  • 2026-07-13 - Last updated in NVD database

Technical Details for CVE-2026-56261

Vulnerability Analysis

Crawl4AI exposes an HTTP API through its Docker deployment that supports asynchronous crawling and LLM extraction jobs. Clients submit jobs to /crawl/job and /llm/job and provide a webhook URL that the server calls when the job completes. The application dispatches this callback without verifying that the target URL points to an external, allowed destination.

Because the webhook request originates from the Crawl4AI server, the target sees traffic from a trusted internal source. Attackers can address services bound to loopback interfaces, containers on the same Docker bridge network, or link-local addresses reserved for cloud instance metadata. The response body or timing behavior can be reflected back through the job result, enabling data exfiltration.

Root Cause

The root cause is missing destination validation on user-supplied webhook URLs. The Docker API server treats the webhook field as an opaque callback target. There is no allowlist of external hosts, no denylist of RFC 1918 ranges, and no block on link-local addresses like 169.254.169.254. This maps directly to CWE-918: Server-Side Request Forgery.

Attack Vector

Exploitation requires network access to the Crawl4AI Docker API and no authentication. An attacker submits a job request with a webhook URL such as http://169.254.169.254/latest/meta-data/iam/security-credentials/ on AWS, or the equivalent Azure IMDS or GCP metadata endpoints. When the job completes, the server issues the callback and may expose the retrieved content, temporary IAM credentials, or internal service responses. Refer to the GitHub Security Advisory GHSA-365w-hqf6-vxfg and the VulnCheck Security Advisory for technical details.

Detection Methods for CVE-2026-56261

Indicators of Compromise

  • Outbound HTTP requests from Crawl4AI containers to 169.254.169.254, metadata.google.internal, or metadata.azure.com.
  • Requests from Crawl4AI to RFC 1918 addresses (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) or loopback 127.0.0.0/8 that do not match documented internal integrations.
  • Job submissions to /crawl/job or /llm/job where the webhook_url parameter contains private, link-local, or loopback addresses.
  • Unexpected DNS lookups from Crawl4AI hosts for internal-only service names.

Detection Strategies

  • Inspect API access logs for POST requests to /crawl/job and /llm/job and parse the webhook URL field, flagging non-public destinations.
  • Deploy egress network policies on the Crawl4AI container and alert on any denied outbound connection attempt to metadata or private ranges.
  • Correlate job submissions with subsequent outbound HTTP traffic from the container to detect callback-based SSRF chains.

Monitoring Recommendations

  • Enable verbose access logging on the Crawl4AI Docker API and forward logs to a centralized analytics platform for retention and query.
  • Monitor cloud instance metadata service access using provider-native controls such as AWS IMDSv2 enforcement and CloudTrail STS activity.
  • Alert on any use of temporary IAM credentials from IP addresses outside the expected Crawl4AI host range.

How to Mitigate CVE-2026-56261

Immediate Actions Required

  • Upgrade Crawl4AI to version 0.8.7 or later on all Docker deployments exposing the job API.
  • Restrict network access to the Crawl4AI API so only trusted clients can reach /crawl/job and /llm/job.
  • Enforce IMDSv2 with hop-limit 1 on AWS EC2 instances hosting Crawl4AI to block containerized SSRF against the metadata service.
  • Rotate any cloud credentials that may have been exposed if exploitation is suspected.

Patch Information

The maintainers released the fix in Crawl4AI 0.8.7. Details are published in the GitHub Security Advisory GHSA-365w-hqf6-vxfg. Upgrade by pulling the patched container image or updating the Python package before re-enabling the Docker API server.

Workarounds

  • Place the Crawl4AI Docker API behind an authenticated reverse proxy that filters webhook URL parameters against an allowlist.
  • Apply Docker network policies or host firewall rules that block outbound traffic from the Crawl4AI container to 169.254.169.254/32, loopback, and RFC 1918 ranges.
  • Disable the /crawl/job and /llm/job endpoints entirely if webhook callbacks are not required for the deployment.
bash
# Example iptables egress restriction for the Crawl4AI container
iptables -I DOCKER-USER -s <crawl4ai_container_ip> -d 169.254.169.254 -j DROP
iptables -I DOCKER-USER -s <crawl4ai_container_ip> -d 10.0.0.0/8 -j DROP
iptables -I DOCKER-USER -s <crawl4ai_container_ip> -d 172.16.0.0/12 -j DROP
iptables -I DOCKER-USER -s <crawl4ai_container_ip> -d 192.168.0.0/16 -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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