Categories
CVE-2026-47411 medium CVSS 6.5

Privilege Escalation in praisonai-platform (CVE-2026-47411)

Summary

Vulnerability in praisonai-platform (CVE-2026-47411). Data can be tampered with by attackers. Exploitable via PATCH /workspaces/{workspace_id}. Mitigation: upgrade to 0.1.4 or later.

Original description

The description as published by the source.

PraisonAI Platform is the platform layer for the PraisonAI multi-agent teams system. Versions prior to 0.1.4 have an authorization bypass enabling workspace metadata + settings tampering. The PATCH /workspaces/{workspace_id} endpoint is gated only by require_workspace_member(workspace_id) (default min_role="member"). Any member can rewrite the workspace's name, description, and the settings JSON blob. The settings field is a free-form JSON object — depending on which downstream code reads it, this becomes a configuration-injection primitive for any setting the platform exposes there. PraisonAI Platform version 0.1.4 patches the issue.

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-2026-47411 has been found in praisonai-platform.
Attackers can target a specific entry point like PATCH /workspaces/{workspace_id} over the network to misuse the product.
Data can be tampered with by attackers. CVSS score: 6.5/10.
What to do: upgrade praisonai-platform to 0.1.4 or later.
If unsure, ask your IT team or search "praisonai-platform CVE-2026-47411" on the vendor's site.

CVE-2026-47411 (praisonai-platform) — CWE-269 / CVSS v3 6.5
Attack vector: remote (network-reachable) / no user interaction
Attack surface: PATCH /workspaces/{workspace_id} / PATCH /workspaces/W / name / description
Patched: 0.1.4 — 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-269) exists in praisonai-platform. Attackers reach the vulnerable code path via PATCH /workspaces/{workspace_id}.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai-platform. Attack surface: PATCH /workspaces/{workspace_id} / PATCH /workspaces/W / name / description.

🔥 Severity

Severity: Medium (CVSS 6.5/10). Data can be tampered with by attackers.

🔧 How to fix

Update to 0.1.4.

🛡️ 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 PATCH /workspaces/{workspace_id} requests with malformed payloads or SQL meta-characters. Run grep -r 'praisonai-platform' . 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-platform' . | 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-platform 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
    Hunt for indicators of compromise detect
    grep 'PATCH /workspaces/{workspace_id}' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで PATCH /workspaces/{workspace_id} への異常なリクエスト (不正な認証ヘッダ・SQLメタ文字)を過去 30〜90日分捜索。WAF/SIEM があれば該当パスのアラート発火履歴を確認。

  3. 3
    Apply patch patch
    Upgrade praisonai-platform to 0.1.4

    ステージング環境で 0.1.4 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と、Step 2 で見つけた異常検知の続報チェックを含めること。

  4. 4
    Post-deployment verification verify
    Replay attack against PATCH /workspaces/{workspace_id} on staging to confirm patch closes the vector

    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 Step 2 と同じログクエリでアラート再発が無いか継続監視。

Affected packages

pip praisonai-platform
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.1.4"}]}]
PyPI praisonai-platform
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.1.4"}]}]

References

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