Categories
CVE-2026-47399 high CVSS 8.8

Vulnerability in praisonai-platform (CVE-2026-47399)

Summary

Vulnerability in praisonai-platform (CVE-2026-47399). Successful exploitation can lead to full system takeover. Exploitable via GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_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. Prior to version 0.1.4, the workspace-scoped REST routes contain a systemic object-level authorization flaw that allows an authenticated user from one workspace to access, modify, and delete objects belonging to another workspace by supplying the victim object's global UUID. The affected pattern appears in workspace-scoped routes such as agents, projects, issues, and comments. The route layer verifies that the caller is a member of the workspace_id provided in the URL, but the service layer later resolves the target object by global object ID only. It does not verify that the resolved object actually belongs to the workspace in the URL. As a result, a valid member of workspace_attacker can call a route under /api/v1/workspaces/{workspace_attacker}/... while supplying an object UUID from workspace_victim. The server authorizes the request based on membership in workspace_attacker, then fetches or mutates the victim object by global UUID. This breaks the platform's workspace isolation boundary. 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-2026-47399 has been found in praisonai-platform.
Attackers can target a specific entry point like GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_id} over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 8.8/10.
What to do: upgrade praisonai-platform to 0.1.4 or later.
If unsure, ask your IT team or search "praisonai-platform CVE-2026-47399" on the vendor's site.

CVE-2026-47399 (praisonai-platform) — CWE-284 / CVSS v3 8.8
Attack vector: remote (network-reachable) / no user interaction
Attack surface: GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_id} / workspace_id / workspace_attacker / workspace_victim
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-284) exists in praisonai-platform. Attackers reach the vulnerable code path via GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_id}.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai-platform. Attack surface: GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_id} / workspace_id / workspace_attacker / workspace_victim.

🔥 Severity

Severity: High (CVSS 8.8/10). Successful exploitation can lead to full system takeover.

🔧 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 GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_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 'GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_id}' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_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 GET /api/v1/workspaces/{workspace_attacker}/agents/{victim_agent_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

We use cookies for analytics and ad measurement. This setting applies to all Game co., Ltd. sites. Details