Categories
CVE-2026-48782 medium CVSS 6.8

SSRF (Server-Side Request Forgery) in pydantic-ai-slim (CVE-2026-48782)

Summary

SSRF in pydantic-ai-slim (CVE-2026-48782). Confidential information can be exposed externally. Exploitable via FileUrl. Mitigation: upgrade to 2.0.0b3 or later.

Original description

The description as published by the source.

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. In versions 1.56.0 through 1.101.0, 2.0.0b1, and 2.0.0b2, the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form that the previous fix, CVE-2026-46678, did not decode, exposing cloud IAM short-term credentials. The previous remediation decoded only IPv4-mapped IPv6, 6to4, and the NAT64 well-known prefix, so the metadata guarantee did not hold for the remaining transition forms: IPv4-compatible IPv6 (::a.b.c.d), the NAT64 RFC 8215 local-use prefix (64:ff9b:1::/48), operator-chosen NAT64 prefixes, and ISATAP. The IPv6 wrapper is then delivered to the underlying IPv4 metadata endpoint. This occurs when an application using Pydantic AI opts a URL into force_download='allow-local' (which disables the default block on private/internal IPs) and runs on a network that actually routes the affected IPv6 transition forms: NAT64-configured networks (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or networks with an ISATAP tunnel for ISATAP. A standard dual-stack cloud VM or container does not route these forms and is not affected in practice. The IPv4-compatible and Teredo variants are deprecated and addressed as defense-in-depth. This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 (itself a follow-up to CVE-2026-25580). This issue has been fixed in version 2.0.0b3.

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-2026-48782 has been found in pydantic-ai-slim.
Attackers can target a specific entry point like FileUrl over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 6.8/10.
What to do: upgrade pydantic-ai-slim to 2.0.0b3 or later.
If unsure, ask your IT team or search "pydantic-ai-slim CVE-2026-48782" on the vendor's site.

CVE-2026-48782 (pydantic-ai-slim) — CWE-918 / CVSS v3 6.8
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: FileUrl / ImageUrl / AudioUrl / VideoUrl
Patched: 2.0.0b3 — 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 pydantic-ai-slim. Attackers reach the vulnerable code path via FileUrl without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of pydantic-ai-slim. Attack surface: FileUrl / ImageUrl / AudioUrl / VideoUrl.

🔥 Severity

Severity: Medium (CVSS 6.8/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 2.0.0b3.

🛡️ 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 'pydantic-ai-slim' . 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 'pydantic-ai-slim' . | 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 pydantic-ai-slim 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 pydantic-ai-slim to 2.0.0b3

    ステージング環境で 2.0.0b3 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 pydantic-ai-slim
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.0.0b3"}]}]
pip pydantic-ai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.0.0b3"}]}]
PyPI pydantic-ai-slim
[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0b1"},{"fixed":"2.0.0b3"}]}]
PyPI pydantic-ai
[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0b1"},{"fixed":"2.0.0b3"}]}]

References

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