PraisonAIAgents has SSRF and Local File Read via Unvalidated URLs in web_crawl Tool

Exploitation

No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.

CVSS

7.7 · CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

EPSS

• CVE-2026-40150: 0.27% estimated exploitation activity in the next 30 days; percentile 19.12 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.

As published by the source; long descriptions are shortened.

Summary The webcrawl() function in praisonaiagents/tools/webcrawltools.py accepts arbitrary URLs from AI agents with zero validation. No scheme allowlisting, hostname/IP blocklisting, or private network checks are applied before fetching. This allows an attacker (or prompt injection in crawled content) to force the agent to fetch cloud metadata endpoints, internal services, or local files via file:// URLs. Details The webcrawl() function at webcrawltools.py:182 accepts a URL string or list of URLs and passes them directly to HTTP clients without any SSRF protections: The crawlwithhttpx() fallback at line 133 makes the actual requests: The specific vulnerabilities are: 1. No URL scheme validation — http://, https://, file://, ftp://, gopher:// are all accepted 2. No hostname/IP blocklist — 169.254.169.254, 127.0.0.1, 10.x.x.x, 172.16.x.x, 192.168.x.x are all reachable 3. Redirect following enabled — httpx.Client(followredirects=True) allows redirect-based SSRF bypasses…

Published by the source

10 Apr 2026, 19:23 UTC

Last modified by the source

13 Jul 2026, 16:42 UTC

Source last checked

26 Oct 2026, 13:40 UTC

1. Revision 2 · amended · 26 Oct 2026

   Amended from ghsa record GHSA-8f4v-xfm9-3244

2. Revision 1 · created · 24 Oct 2026

   Published from osv record GHSA-8f4v-xfm9-3244

Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.

# Patch Next advisory brief: CVE-2026-40150

Advisory: PraisonAIAgents has SSRF and Local File Read via Unvalidated URLs in web_crawl Tool
IDs: CVE-2026-40150, GHSA-8f4v-xfm9-3244
Record: https://patchnext.com/advisories/cve-2026-40150 (revision 2, source checked 26 Oct 2026, 13:40 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: High (CVSS 7.7)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: praisonaiagents 1.5.128. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI praisonaiagents: affected < 1.5.128; fixed in 1.5.128

## Suggested inspection (read-only)
- `python -m pip show praisonaiagents`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on praisonaiagents.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://osv.dev/vulnerability/GHSA-8f4v-xfm9-3244 (OSV record GHSA-8f4v-xfm9-3244 lists affected ranges: PyPI praisonaiagents >=0 <1.5.128 (fixed))
- Verified: https://github.com/advisories/GHSA-8f4v-xfm9-3244 (GitHub-reviewed advisory GHSA-8f4v-xfm9-3244 lists affected ranges: PyPI praisonaiagents >=0 <1.5.128)

Commands are suggestions: review each one before running it.