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GHSA-jwp7-wg77-3w9v

MediumCVSS 6.1 / 10
Published May 19, 2026·Last modified May 19, 2026
Affected Components(0)

No affected components available

Description

Summary

The fetch-apify-docs tool validates URLs against a domain allowlist using String.startsWith() instead of proper URL hostname comparison. This allows bypass via attacker-controlled subdomains (e.g., https://docs.apify.com.evil.com/), enabling the tool to fetch and return arbitrary web content to the LLM.

Details

Vulnerable component

src/tools/common/fetch_apify_docs.ts, line 51:

const isAllowedDomain = ALLOWED_DOC_DOMAINS.some((domain) => url.startsWith(domain));

src/const.ts, lines 167-170:

export const ALLOWED_DOC_DOMAINS = [
    'https://docs.apify.com',
    'https://crawlee.dev',
] as const;

How the bypass works

String.startsWith('https://docs.apify.com') matches any string beginning with that prefix, including:

  • https://docs.apify.com.evil.com/payload - attacker-controlled subdomain
  • https://docs.apify.com@evil.com/payload - userinfo component in URL (browser behavior varies, but fetch() in Node.js may follow this)
  • https://docs.apify.com.evil.com:8080/path - custom port on attacker domain

All of these pass the startsWith check because they begin with the exact string https://docs.apify.com.

The fetched content is returned to the LLM

After the allowlist check passes, the tool fetches the URL and returns the full page content as markdown (fetch_apify_docs.ts:69-103):

const response = await fetch(url);
// ...
const html = await response.text();
markdown = htmlToMarkdown(html);
// ...
return buildMCPResponse({ texts: [`Fetched content from ${url}:\n\n${markdown}`], ... });

The HTML is converted to markdown and returned verbatim to the LLM. This creates a prompt injection vector - the attacker's page can contain instructions that the LLM may follow.

While tools like get-html-skeleton have no domain allowlist at all - it accepts any URL. The fetch-apify-docs tool was clearly intended to be more restricted (documentation-only), but the startsWith check defeats that intent.

PoC

{
  "method": "tools/call",
  "params": {
    "name": "fetch-apify-docs",
    "arguments": {
      "url": "https://docs.apify.com.evil.com/prompt-injection-payload"
    }
  }
}

The URL passes the startsWith('https://docs.apify.com') check, fetches the attacker's page, and returns its content to the LLM.

Impact

  • Prompt injection via fetched content: Attacker hosts a page at docs.apify.com.evil.com containing LLM instructions. When the tool fetches and returns this content, the LLM may follow the injected instructions.
  • Security boundary violation: The allowlist was explicitly designed to restrict fetching to trusted documentation domains. The bypass defeats this intent.
  • SSRF (limited): The tool can fetch from attacker-controlled servers, though the primary risk is the content returned to the LLM rather than network access.
  • Account compromise via _meta.apifyToken: Injected prompt instructions can direct the LLM to include a specific _meta.apifyToken (the server's per-request token feature) in subsequent call-actor invocations, redirecting billable operations to a victim's account or accessing their private Actors
Risk Scores
Base Score
6.1

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. The attacker needs the user to perform some action, like clicking a link. The vulnerability can affect other systems as well, not just the initial system. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data.

Threat Intelligence
5.6

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.19%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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