Vulnerability in PraisonAI (CVE-2026-55531)
Summary
Vulnerability in PraisonAI (CVE-2026-55531). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 4.6.58 or later.
Original description
The description as published by the source.
Summary
The PraisonAI MCP HTTP-stream server creates a new in-memory session on every initialize request and never removes it. The cleanup routine that would expire sessions (_cleanup_sessions) is defined but never called anywhere in the codebase, and the configured session TTL is never enforced. There is no cap on the number of sessions. Because initialize requires no authentication and the server keeps every session dictionary forever, an attacker who can reach the endpoint (directly when the server is bound to a routable address, or from a victim's browser via the separate Origin-validation bypass) can drive memory usage up without bound until the process is killed by the out-of-memory killer. The same unbounded-growth pattern also applies to the cancelled-requests set populated by notifications/cancelled.
Details
In transports/http_stream.py, each initialize creates and stores a session with no limit:
if body.get("method") == "initialize":
new_session_id = str(uuid.uuid4())
self._sessions[new_session_id] = {
"created_at": time.time(),
"last_activity": time.time(),
}
A cleanup method exists:
def _cleanup_sessions(self) -> None:
now = time.time()
expired = [sid for sid, data in self._sessions.items()
if now - data["last_activity"] > self.session_ttl]
for sid in expired:
del self._sessions[sid]
but grep across the package shows it has no call sites: it is never invoked o…
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-2026-55531 has been found in PraisonAI.
Risk of unauthorized operations or information disclosure. CVSS score: 6.5/10.
What to do: upgrade PraisonAI to 4.6.58 or later.
If unsure, ask your IT team or search "PraisonAI CVE-2026-55531" on the vendor's site.
CVE-2026-55531 (PraisonAI) — CWE-400 / CVSS v3 6.5
Attack vector: remote (network-reachable) / unauthenticated
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.
A vulnerability (CWE-400) exists in PraisonAI.
Check the vendor advisory for the affected versions of PraisonAI.
Severity: Medium (CVSS 6.5/10). Risk of unauthorized operations or information disclosure.
Update to 4.6.58.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
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
-
1Identify 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。 -
2Apply 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。
-
3Post-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。