External risk intelligence

Crawl4AI Docker API Local File Inclusion Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.2)

CVE-2026-26217

Crawl4AI is designed as an API-based service for web crawling and page processing. When deployed in a Docker container as an API, these endpoints are frequently exposed as web services to allow external or application-level interaction, making the vulnerable endpoints accessible if the API is exposed to the network.

Path Traversal

Kidocode Crawl4ai

before 0.8.0

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

A vulnerability has been identified in Crawl4AI software that could allow unauthorized access to sensitive information on servers running the affected versions. This issue stems from how the software handles specific file-related requests through its Docker API, potentially exposing credentials, API keys, and internal application details if exploited.

File access vulnerability in AI software.
Confirms potential exposure of sensitive credentials.
Assess relevance and confirm exposure.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending specially crafted requests to the Crawl4AI Docker API. Because the affected endpoints allow the use of `file://` URLs, an attacker could trick the application into reading arbitrary files from the server's filesystem. This could reveal sensitive information such as credentials and configuration details.

Exposed API endpoints accept file URLs.
Attackers read sensitive server files.
Disclosure of credentials and configuration.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, unauthenticated remote attackers could exploit a local file inclusion vulnerability in the Docker API deployment of Crawl4AI. This could allow them to read arbitrary files from the server's filesystem, potentially exposing sensitive information such as credentials, API keys, and internal application structure through specific endpoints.

Sensitive server files could be read.
Arbitrary file reads via file:// URLs.
Exposure of credentials and application secrets.

Operational Fix

Recommended remediation, mitigation, and detection steps

The critical local file inclusion vulnerability in Crawl4AI's Docker API deployment likely falls under the purview of platform or infrastructure teams responsible for managing containerized applications. The first practical step involves identifying all instances of Crawl4AI, determining their network exposure, assessing business criticality, and pinpointing the accountable owner for remediation.

Platform/infrastructure teams own this.
Verify network exposure and asset criticality.
Plan remediation based on identified risk.

Supplementary metadata

CVSS vector

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

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Frequently asked questions

What is Crawl4AI?

Crawl4AI is a developer-focused tool designed for web crawling and page data extraction. It transforms unstructured web content into formats suitable for large language models. The software is frequently deployed as a Docker container, providing an API layer that allows other applications to programmatically trigger complex crawling, screenshotting, or conversion tasks.

What does CVE-2026-26217 mean for the application?

This vulnerability is classified as Improper Limitation of a Pathname to a Restricted Directory, or CWE-22. It occurs because the affected Crawl4AI endpoints fail to sanitize user input when processing URLs. By providing a local file path instead of a standard web address, an attacker can bypass intended restrictions and force the server to read and return the contents of internal files.

How can an attacker trigger this vulnerability?

An attacker can exploit this by submitting requests to specific API endpoints—such as those for PDF or screenshot generation—using a file:// URI scheme. The vulnerability is triggered only when the application is configured to accept these malicious inputs. Requests targeting standard web URLs or those that do not involve the affected file-handling endpoints are not impacted by this specific bug.

Do I need to worry if my Crawl4AI instance is internal?

Halo Surface Signal indicates that Crawl4AI is commonly deployed as an API-based service, which often makes it a target if those endpoints are exposed to the network. If your instance is strictly internal and unreachable by unauthorized parties, the risk is reduced. However, you should still evaluate if internal network segments have access to these management APIs.

What is the first step to address this issue?

Begin by auditing your environment to locate all running instances of Crawl4AI. Confirm whether these instances are using a version prior to 0.8.0. Once identified, evaluate the network accessibility of the Docker API endpoints. If you cannot immediately restrict network access, prioritize upgrading the software, as the maintainers have released a fix in version 0.8.0 to prevent unauthorized file access.

References

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.