Categories
CVE-2026-47407

Privilege Escalation in praisonai-platform (CVE-2026-47407)

Summary

Vulnerability in praisonai-platform (CVE-2026-47407). Risk of unauthorized operations or information disclosure. Exploitable via GET /agents/{agent_id}. Mitigation: upgrade to 0.1.4 or later.

Original description

The description as published by the source.

Summary

The Platform server exposes resources under /api/v1/workspaces/{workspace_id}/... and protects them with a require_workspace_member(workspace_id) FastAPI dependency. The dependency only checks that the caller is a member of the workspace_id in the URL prefix. The route handlers then look up the inner resource (agent_id, issue_id, project_id, label_id, comment_id, dependency_id) by primary key alone. The resource's own workspace_id is never compared to the URL's workspace_id.

A user can therefore put their own workspace in the URL prefix and any other workspace's resource ID in the path. The auth check passes, since they really are a member of the prefix workspace. The service then returns the cross-tenant resource for read, update, or delete.

There is a second bug in the member-management routes (add_member, update_member_role, remove_member, update_workspace, delete_workspace). Each one inherits the default min_role="member" from require_workspace_member. Any basic member can therefore promote themselves to admin or owner, demote or remove other members, and delete the workspace. The role hierarchy exists in the schema but is not enforced.

Registration is open at /api/v1/auth/register with no email verification. The default server bind is 0.0.0.0:8000 (python -m praisonai_platform). One curl from any unauthenticated network position is enough to bootstrap into the system.

Affected functionality

Every nested-resource…

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-2026-47407 has been found in praisonai-platform.
Attackers can target a specific entry point like GET /agents/{agent_id} over the network to misuse the product.
Risk of unauthorized operations or information disclosure.
What to do: upgrade praisonai-platform to 0.1.4 or later.
If unsure, ask your IT team or search "praisonai-platform CVE-2026-47407" on the vendor's site.

CVE-2026-47407 (praisonai-platform) — CWE-269
Attack surface: GET /agents/{agent_id} / PATCH /agents/{agent_id} / DELETE /agents/{agent_id} / GET /issues/{issue_id}
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 GET /agents/{agent_id}.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai-platform. Attack surface: GET /agents/{agent_id} / PATCH /agents/{agent_id} / DELETE /agents/{agent_id} / GET /issues/{issue_id}.

🔥 Severity

Severity: ?. Risk of unauthorized operations or information disclosure.

🔧 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 /agents/{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 /agents/{agent_id}' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで GET /agents/{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 /agents/{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

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