Categories
CVE-2026-47390 medium CVSS 5.5

SSRF (Server-Side Request Forgery) in praisonaiagents (CVE-2026-47390)

Summary

SSRF in praisonaiagents (CVE-2026-47390). Confidential information can be exposed externally. Exploitable via spider_tools. Mitigation: upgrade to 1.6.40 or later.

Original description

The description as published by the source.

PraisonAI is a multi-agent teams system. Prior to version 4.6.40 of PraisonAI, corresponding to version 1.6.40 of praisonaiagents, spider_tools URL validation can be bypassed using alternate loopback host encodings. The tool contains a URL validation function intended to block local or unsafe targets before fetching attacker-controlled URLs. However, the validation only blocks a small set of exact host strings such as localhost and 127.0.0.1. It does not normalize hostnames, resolve DNS, parse numeric IPv4 variants, or validate the final resolved IP address before making the request. As a result, certain URLs may bypass the protection and still reach loopback services. After the weak validation passes, scrape_page() calls requests.Session.get() on the attacker-controlled URL. This allows an attacker who can influence URLs passed to scrape_page, crawl, or extract_text to induce SSRF requests against loopback-only services. This is a server-side request forgery protection bypass. PraisonAI version 4.6.40 and praisonaiagents version 1.6.40 contain a patch.

Source: GitHub Security Advisories (Global) 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-2026-47390 has been found in praisonaiagents.
Attackers can target a specific entry point like spider_tools over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 5.5/10.
What to do: upgrade praisonaiagents to 1.6.40 or later.
If unsure, ask your IT team or search "praisonaiagents CVE-2026-47390" on the vendor's site.

CVE-2026-47390 (praisonaiagents) — CWE-918 / CVSS v3 5.5
Attack vector: local / unauthenticated
Attack surface: spider_tools / localhost / scrape_page / crawl
Patched: 1.6.40 — 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 praisonaiagents. Attackers reach the vulnerable code path via spider_tools without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonaiagents. Attack surface: spider_tools / localhost / scrape_page / crawl.

🔥 Severity

Severity: Medium (CVSS 5.5/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 1.6.40.

🛡️ 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 'praisonaiagents' . 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 'praisonaiagents' . | 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 praisonaiagents 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 praisonaiagents to 1.6.40

    ステージング環境で 1.6.40 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

pip praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.40"}]}]
pip PraisonAI
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.40"}]}]
PyPI praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.40"}]}]
PyPI praisonai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.40"}]}]

References

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