CVE-2026-103001

CVE-2026-103001 is a medium-severity security vulnerability in PyJWT (pip), affecting versions >= 2.11.0, <= 2.13.0. No fixed version is listed yet.

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Summary

PyJWT.decode() reintroduces options-dict mutation, enabling silent claim-verification bypass on dict reuse

PyJWT.decode()/decode_complete() mutates a caller-supplied options dict in place whenever verify_signature is falsy, adding verify_exp/verify_nbf/verify_iat/verify_aud/verify_iss/verify_sub/verify_jti keys directly onto that object. If application code reuses the same options dict across calls (a config object, a module-level constant, a wrapper's self.options), a later call that explicitly sets verify_signature=True for a full, normal verification silently inherits the leftover verify_exp=False etc. from an earlier verify_signature=False call on the same object -- and accepts an expired, wrong-audience, wrong-issuer, or wrong-subject token as valid with no exception. Signature verification itself is unaffected; this is specifically a claims-check bypass.

This is a regression of an already-fixed, closed issue: originally reported in #679 (2021), fixed in #743 (2022, via a shallow copy of options), and silently reintroduced by #1045 (merged 2025-03-05, a typing/logic refactor that dropped the 2022 shallow-copy line). It has been present since #1045 merged, so it likely shipped in several releases already in the wild.

Details

File: jwt/api_jwt.py, PyJWT._merge_options() (called from decode_complete(), which backs both jwt.decode() and jwt.decode_complete()):

def _merge_options(self, options=None):
    if options is None:
        return self.options
    if not options.get("verify_signature", True):
        options["verify_exp"] = options.get("verify_exp", False)
        options["verify_nbf"] = options.get("verify_nbf", False)
        # ...5 more, same pattern -- all written directly onto the caller's dict
    return {**self.options, **options}

No dict(options) copy occurs before these writes, unlike the pre-2025-03-05 code (see #743's fix, options = dict(options or {})). Confirmed via gh api repos/jpadilla/pyjwt/commits/29fbfc36 that #1045's diff removes that line. Confirmed still present on current main via a live fetch of jwt/api_jwt.py.

PoC

Two scripts, each run twice (separate processes), identical output both times (except Python object id()), saved locally and available on request:

import jwt, time

INSECURE_OPTIONS = {"verify_signature": False}

secret = "s3cr3t"
expired_token = jwt.encode(
    {"exp": int(time.time()) - 3600, "data": "x"}, secret, algorithm="HS256"
)

jwt.decode(expired_token, options=INSECURE_OPTIONS)
print(INSECURE_OPTIONS)
# The dict has been silently mutated with 7 new keys, including verify_exp: False.

INSECURE_OPTIONS["verify_signature"] = True
result = jwt.decode(expired_token, secret, algorithms=["HS256"], options=INSECURE_OPTIONS)
print(result)
# No exception raised. Expected: jwt.ExpiredSignatureError, since verify_signature=True
# was explicitly requested on this call.

Reproduced deterministically across 2 independent process runs.

Maintainer update, 2026-09-08

We reproduced the reported behavior on PyJWT 2.13.0 at source SHA 7144e4534c34810f4525dc4578a32addd8212cff. A caller-supplied mutable options mapping was modified when verify_signature was false; reusing that mapping after re-enabling signature verification could leave registered-claim checks disabled. This is a conditional claim-verification bypass, not a signature-forgery issue.

A narrow fix has been prepared: PyJWT now copies the options mapping before applying defaults. Regression coverage includes decode(), decode_complete(), constructor input preservation, mutable-mapping compatibility, and reuse of an options mapping across verification modes. The focused tests pass, the full suite passes with 369 tests and 4 intentional cryptography-environment skips, and lint/format/type checks pass.

The advisory remains in triage while the fix goes through release planning. The independently verified range in this investigation is 2.13.0; reports of earlier affected versions should include the exact version and reproduction details.

Impact

Preconditions: the calling application must reuse a mutable options dict object across two or more decode()/decode_complete() calls with different intent (e.g. one "insecure peek" call followed by a "fully verified" call on the same dict, config object, or instance attribute). This is a real, plausible pattern but not universal; it does not affect code that constructs a fresh options dict per call.

When triggered: a signed-but-expired (or wrong-aud/iss/sub/jti) token is silently accepted as fully verified, with no warning or exception. This is an authentication/claims-verification bypass, not a signature-verification bypass.

Scope: regression present since PR #1045 (merged 2025-03-05), affecting every PyJWT release since then up to and including the current 2.13.0.

Suggested fix: restore a shallow copy inside _merge_options() itself (rather than relying on a caller-side copy), so every caller of _merge_options is covered:

def _merge_options(self, options=None):
    if options is None:
        return self.options
    options = dict(options)  # never mutate the caller's dict
    if not options.get("verify_signature", True):
        options.setdefault("verify_exp", False)
        options.setdefault("verify_nbf", False)
        options.setdefault("verify_iat", False)
        options.setdefault("verify_aud", False)
        options.setdefault("verify_iss", False)
        options.setdefault("verify_sub", False)
        options.setdefault("verify_jti", False)
    return {**self.options, **options}

Found via a property-based audit (copy/clone independence across widely-used Python libraries); both repro scripts were written and independently re-run before this report.

CVE-2026-103001 has a CVSS score of 6.5 (Medium). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. No fixed version is listed yet, so configuration controls and monitoring matter more in the interim.

Affected versions

PyJWT (>= 2.11.0, <= 2.13.0)

Security releases

Not available

Kodem intelligence

Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.

Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.

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Remediation advice

No fixed version is listed for CVE-2026-103001 yet.

Kodem Kai can prioritize this vulnerability in your dependency tree and generate a fix recommendation.

Frequently Asked Questions

  1. What is CVE-2026-103001? CVE-2026-103001 is a medium-severity security vulnerability in PyJWT (pip), affecting versions >= 2.11.0, <= 2.13.0. No fixed version is listed yet.
  2. How severe is CVE-2026-103001? CVE-2026-103001 has a CVSS score of 6.5 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
  3. Which versions of PyJWT are affected by CVE-2026-103001? PyJWT (pip) versions >= 2.11.0, <= 2.13.0 is affected.
  4. Is there a fix for CVE-2026-103001? No fixed version is listed for CVE-2026-103001 yet. Monitor the advisory for updates and apply mitigations in the interim.
  5. Is CVE-2026-103001 exploitable, and should I be worried? Whether CVE-2026-103001 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
  6. What actually determines whether CVE-2026-103001 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.

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