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CVE-2026-47419
Vulnerability in praisonai-platform (CVE-2026-47419)
Summary
vulnerability in praisonai-platform (CVE-2026-47419). Confidential information can be exposed externally. Exploitable via `DELETE /workspaces/{workspace_id}/agents/{agent_id}`. Mitigation: upgrade to `0.1.4` or later.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **CVE-2026-47419** has been found in praisonai-platform.
Attackers can target a specific entry point like `DELETE /workspaces/{workspace_id}/agents/{agent_id}` over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: ?/10.
What to do: upgrade praisonai-platform to **0.1.4** or later.
If unsure, ask your IT team or search "praisonai-platform CVE-2026-47419" on the vendor's site.
CVE-2026-47419 (praisonai-platform) — CWE-639 /
Attack vector: remote (network-reachable) / no user interaction
Attack surface: DELETE /workspaces/{workspace_id}/agents/{agent_id} / GET /workspaces/W_attacker/agents/A_T / PATCH /workspaces/W_attacker/agents/A_T / DELETE /workspaces/W_attacker/agents/A_T
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-639) exists in praisonai-platform. Attackers reach the vulnerable code path via `DELETE /workspaces/{workspace_id}/agents/{agent_id}` without authentication.
📍 Affected scope
praisonai-platform — . Attack surface: DELETE /workspaces/{workspace_id}/agents/{agent_id} / GET /workspaces/W_attacker/agents/A_T / PATCH /workspaces/W_attacker/agents/A_T / DELETE /workspaces/W_attacker/agents/A_T.
🔥 Severity
Severity: ?. Confidential information can be exposed externally
🔧 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 `DELETE /workspaces/{workspace_id}/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 (7 steps)
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify 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。
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3Hunt for indicators of compromise detect
grep 'DELETE /workspaces/{workspace_id}/agents/{agent_id}' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで `DELETE /workspaces/{workspace_id}/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。
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6Apply 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 3 で見つけた異常検知の続報チェックを含めること。
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7Post-deployment verification verify
Replay attack against DELETE /workspaces/{workspace_id}/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 3 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"}]}]