Categories
CVE-2026-40115

Vulnerability in praisonai (CVE-2026-40115)

Summary

Vulnerability in praisonai (CVE-2026-40115). Risk of unauthorized operations or information disclosure. Exploitable via server.py. Mitigation: upgrade to 4.5.128 or later.

Original description

The description as published by the source.

Summary

The WSGI-based recipe registry server (server.py) reads the entire HTTP request body into memory based on the client-supplied Content-Length header with no upper bound. Combined with authentication being disabled by default (no token configured), any local process can send arbitrarily large POST requests to exhaust server memory and cause a denial of service. The Starlette-based server (serve.py) has RequestSizeLimitMiddleware with a 10MB limit, but the WSGI server lacks any equivalent protection.

Details

The vulnerable code path in src/praisonai/praisonai/recipe/server.py:

1. No size limit on body read (line 551-555):

content_length = int(environ.get("CONTENT_LENGTH", 0))
body = environ["wsgi.input"].read(content_length) if content_length > 0 else b""

The content_length is taken directly from the HTTP header with no maximum check. The entire body is read into a single bytes object in memory.

2. Second in-memory copy via multipart parsing (line 169-172):

result = {"fields": {}, "files": {}}
boundary_bytes = f"--{boundary}".encode()
parts = body.split(boundary_bytes)

The _parse_multipart method splits the already-buffered body and stores file contents in a dict, creating additional in-memory copies.

3. Third copy to temp file (line 420-421):

with tempfile.NamedTemporaryFile(suffix=".praison", delete=False) as tmp:
    tmp.write(bundle_content)

The bundle content is then written to disk…

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-2026-40115 has been found in praisonai.
Attackers can target a specific entry point like server.py over the network to misuse the product.
Risk of unauthorized operations or information disclosure.
What to do: upgrade praisonai to 4.5.128 or later.
If unsure, ask your IT team or search "praisonai CVE-2026-40115" on the vendor's site.

CVE-2026-40115 (praisonai) — CWE-770
Attack vector: local / unauthenticated / no user interaction
Attack surface: server.py / serve.py / RequestSizeLimitMiddleware / content_length
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.

❓ What is the problem

A vulnerability (CWE-770) exists in praisonai. Attackers reach the vulnerable code path via server.py without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai. Attack surface: server.py / serve.py / RequestSizeLimitMiddleware / content_length.

🔥 Severity

Severity: ?. Risk of unauthorized operations or information disclosure.

🔧 How to fix

Update to 4.5.128.

🛡️ 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 4.5.128

    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。

  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":"4.5.128"}]}]

References

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