Vulnerability in praisonai-platform (CVE-2026-58653)
Summary
Vulnerability in praisonai-platform (CVE-2026-58653). Risk of unauthorized operations or information disclosure. Exploitable via GET /workspaces/W_A/projects/P_A/stats. Mitigation: upgrade to 0.1.4 or later.
Original description
The description as published by the source.
PraisonAI before 0.1.7 fails to validate that project_id in issue create and update request bodies belongs to the URL workspace. An attacker can create issues referencing projects from other workspaces, causing cross-tenant data pollution in project statistics aggregation without workspace constraints.
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-2026-58653 has been found in praisonai-platform.
Attackers can target a specific entry point like GET /workspaces/W_A/projects/P_A/stats over the network to misuse the product.
Risk of unauthorized operations or information disclosure. CVSS score: 4.3/10.
What to do: upgrade praisonai-platform to 0.1.4 or later.
If unsure, ask your IT team or search "praisonai-platform CVE-2026-58653" on the vendor's site.
CVE-2026-58653 (praisonai-platform) — CWE-639 / CVSS v3 4.3
Attack vector: remote (network-reachable) / no user interaction
Attack surface: GET /workspaces/W_A/projects/P_A/stats / POST /workspaces/W_B/issues / project_id / W_B
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.
A vulnerability (CWE-639) exists in praisonai-platform. Attackers reach the vulnerable code path via GET /workspaces/W_A/projects/P_A/stats.
Check the vendor advisory for the affected versions of praisonai-platform. Attack surface: GET /workspaces/W_A/projects/P_A/stats / POST /workspaces/W_B/issues / project_id / W_B.
Severity: Medium (CVSS 4.3/10). Risk of unauthorized operations or information disclosure.
Update to 0.1.4.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual GET /workspaces/W_A/projects/P_A/stats 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
-
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。 -
2Hunt for indicators of compromise detect
grep 'GET /workspaces/W_A/projects/P_A/stats' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
GET /workspaces/W_A/projects/P_A/stats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。 -
3Apply 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。
-
4Post-deployment verification verify
Replay attack against GET /workspaces/W_A/projects/P_A/stats 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
References
- advisory github.com
- advisory nvd.nist.gov
- advisory vulncheck.com
- advisory github.com
- package github.com
- web github.com