Vulnerability in praisonai (CVE-2026-61428)
Summary
Vulnerability in praisonai (CVE-2026-61428). Risk of unauthorized operations or information disclosure. Exploitable via POST /webhook. Mitigation: upgrade to 4.6.78 or later.
Original description
The description as published by the source.
PraisonAI AgentMail versions before 4.6.78 lack signature verification in webhook mode, allowing unauthenticated attackers to inject messages with spoofed sender addresses. Attackers can POST crafted message.received events to the webhook endpoint to inject arbitrary content into the agent and trigger replies to attacker-controlled addresses, bypassing sender allow/block lists.
Source: NIST National Vulnerability Database 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-2026-61428 has been found in praisonai.
Attackers can target a specific entry point like POST /webhook over the network to misuse the product.
Risk of unauthorized operations or information disclosure. CVSS score: 7.3/10.
What to do: upgrade praisonai to 4.6.78 or later.
If unsure, ask your IT team or search "praisonai CVE-2026-61428" on the vendor's site.
CVE-2026-61428 (praisonai) — CWE-290 / CVSS v3 7.3
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: POST /webhook / GET /webhook-log / message.received / linear.py
Patched: 4.6.78 — 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-290) exists in praisonai. Attackers reach the vulnerable code path via POST /webhook without authentication.
Check the vendor advisory for the affected versions of praisonai. Attack surface: POST /webhook / GET /webhook-log / message.received / linear.py.
Severity: High (CVSS 7.3/10). Risk of unauthorized operations or information disclosure.
Update to 4.6.78.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual POST /webhook requests with malformed payloads or SQL meta-characters. Run grep -r 'praisonai' . 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' . | 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 'POST /webhook' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
POST /webhook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 to 4.6.78ステージング環境で 4.6.78 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 POST /webhook 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 vulncheck.com
- advisory nvd.nist.gov
- advisory github.com
- advisory github.com
- package github.com
- package pypi.org
- web github.com