Categories
CVE-2026-55536 critical CVSS 9.1

Vulnerability in PraisonAI (CVE-2026-55536)

Summary

Vulnerability in PraisonAI (CVE-2026-55536). Confidential information can be exposed externally. Exploitable via start_session. Mitigation: upgrade to 4.6.58 or later.

Original description

The description as published by the source.

Summary

praisonai/browser/server.py validates incoming WebSocket connections using a Chrome
extension Origin check. The regex chrome-extension://[a-z0-9]{32} is applied with
re.match(), which only anchors at the start of the string, not the end. Any Origin
header with more than 32 alphanumeric characters after chrome-extension:// — including
non-alphanumeric trailing characters — passes the check.

This is a patch bypass of GHSA-8x8f-54wf-vv92. That advisory triggered the addition
of origin validation; this finding shows the validation is bypassable by any WebSocket
client that forges an Origin header. After bypassing, the attacker can send start_session
commands that are executed by any Chrome extension currently connected to the server —
causing the extension to perform arbitrary browser automation including cookie theft and
screenshot capture.

Details

Vulnerable code — browser/server.py line 186:

elif parsed_origin.scheme == "chrome-extension" and \
     re.match(r"chrome-extension://[a-z0-9]{32}", origin):
    is_allowed = True

re.match() returns a match object if the pattern matches at the beginning of the
string; trailing characters after the 32nd are not evaluated. re.fullmatch() (or
anchoring with $) is required to enforce exact length.

There is no other authentication mechanism in _handle_connection(). Confirmed by
source inspection:

  • No bearer token check
  • No API key check
  • No extension ID allo…

Source: GitHub Security Advisories (Global) NVD GitHub Advisory

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-55536 has been found in PraisonAI.
Attackers can target a specific entry point like start_session over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 9.1/10.
What to do: upgrade PraisonAI to 4.6.58 or later.
If unsure, ask your IT team or search "PraisonAI CVE-2026-55536" on the vendor's site.

CVE-2026-55536 (PraisonAI) — CWE-284 / CVSS v3 9.1
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: start_session / BrowserAgent / goal / model
Patched: 4.6.58 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

A vulnerability (CWE-284) exists in PraisonAI. Attackers reach the vulnerable code path via start_session without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of PraisonAI. Attack surface: start_session / BrowserAgent / goal / model.

🔥 Severity

Severity: Critical (CVSS 9.1/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 4.6.58.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'PraisonAI' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify
    grep -r 'PraisonAI' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で PraisonAI を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Apply patch patch
    Upgrade PraisonAI to 4.6.58

    ステージング環境で 4.6.58 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  3. 3
    Post-deployment verification verify
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

pip PraisonAI
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.58"}]}]

References

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