Vulnerability in praisonai (CVE-2026-40156)
Summary
Vulnerability in praisonai (CVE-2026-40156). Successful exploitation can lead to full system takeover. Exploitable via tools.py. Mitigation: upgrade to 4.5.128 or later.
Original description
The description as published by the source.
PraisonAI automatically loads a file named tools.py from the current working directory to discover and register custom agent tools. This loading process uses importlib.util.spec_from_file_location and immediately executes module-level code via spec.loader.exec_module() without explicit user consent, validation, or sandboxing.
The tools.py file is loaded implicitly, even when it is not referenced in configuration files or explicitly requested by the user. As a result, merely placing a file named tools.py in the working directory is sufficient to trigger code execution.
This behavior violates the expected security boundary between user-controlled project files (e.g., YAML configurations) and executable code, as untrusted content in the working directory is treated as trusted and executed automatically.
If an attacker can place a malicious tools.py file into a directory where a user or automated system (e.g., CI/CD pipeline) runs praisonai, arbitrary code execution occurs immediately upon startup, before any agent logic begins.
Vulnerable Code Location
src/praisonai/praisonai/tool_resolver.py → ToolResolver._load_local_tools
tools_path = Path(self._tools_py_path) # defaults to "tools.py" in CWD
...
spec = importlib.util.spec_from_file_location("tools", str(tools_path))
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # Executes arbitrary code
Reproducing the Attack
- Create a…
Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV
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-2026-40156 has been found in praisonai.
Attackers can target a specific entry point like tools.py over the network to misuse the product.
Successful exploitation can lead to full system takeover.
What to do: upgrade praisonai to 4.5.128 or later.
If unsure, ask your IT team or search "praisonai CVE-2026-40156" on the vendor's site.
CVE-2026-40156 (praisonai) — CWE-426
Attack vector: local / unauthenticated
Attack surface: tools.py / importlib.util.spec_from_file_location / praisonai / ToolResolver._load_local_tools
Patched: 4.5.128 — 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-426) exists in praisonai. Attackers reach the vulnerable code path via tools.py without authentication.
Check the vendor advisory for the affected versions of praisonai. Attack surface: tools.py / importlib.util.spec_from_file_location / praisonai / ToolResolver._load_local_tools.
Severity: ?. Successful exploitation can lead to full system takeover.
Update to 4.5.128.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. 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。 -
2Apply patch patch
Upgrade praisonai to 4.5.128ステージング環境で 4.5.128 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を含めること。
-
3Post-deployment verification verify
Confirm patched version is live in production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。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- advisory nvd.nist.gov
- package github.com
- web github.com
- web github.com