CVE-2026-102269 is a medium-severity (CVSS 4.8) CWE-180 vulnerability in pyjwt. A fix is available for pyjwt — see the affected versions and patch details below.
PyJWT: Non-canonical signature segments enable raw-token revocation bypass
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-102269.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
CVE-2026-102269 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.
Where this sits among everything scored
Of 394,803 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.
Real-World Exposure
pyjwtReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
PyJWT 2.13.0 accepts compact JWS signature segments containing characters that
are not in the Base64URL alphabet. Appending !!!! to a valid signature does
not change the decoded signature bytes or authenticated claims, but it changes
the serialized token and its SHA-256 hash. An application that indexes logout
or revocation state by the raw token therefore rejects the logged-out token and
accepts its no-key alternate serialization.
This report separates two issues: permissive compact-JWS decoding is the
library behavior, while using raw serialized JWT text as a security identity is
a dangerous application composition. A jti-indexed control blocks both
representations.
Affected Version
Confirmed with PyJWT 2.13.0 on CPython 3.13. The mutation changes only the signature segment and requires no signing key.
End-to-End Reproduction
.venv-research/bin/python 06-practical-testing/revocation-bypass-lab.py
The loopback-only lab performs:
- Issue a valid HS256 admin token.
- Access
/protectedsuccessfully. - Log out the canonical token and store
SHA256(raw_token). - Confirm canonical replay returns HTTP 401.
- Append
!!!!to only the signature segment. - Confirm the mutated token has the same verified claims and signature bytes, a different raw hash, and receives HTTP 200.
- Repeat with
jti-indexed revocation and confirm both forms return HTTP 401.
Observed statuses for raw-token revocation were 200 -> logout -> 401 for the
canonical token and 200 for the alternate serialization. The jti control
returned 401 for both replays after logout.
Security Boundaries and Severity
This is not signature forgery: the attacker starts with a valid token and cannot alter its claims. Impact requires a consumer to bind revocation, replay state, rate limits, or cache identity to the raw compact string. Under that composition, an authenticated user can bypass logout or token-specific revocation without the signing key. Medium is suggested for triage because the security impact is real but application-dependent.
Recommended Fix
- Reject signature segments containing characters outside
[A-Za-z0-9_-]. - Reject padding and other non-canonical Base64URL encodings for compact JWS.
- Add regression tests proving malformed signature encodings fail before or during verification.
- Document that applications must use a semantic identifier such as
jti, not the raw serialized token, for revocation and replay state.
Maintainer update — 2026-09-09
We reproduced the reported behavior on the verified master commit 8915570: appending !!!! to a valid compact-JWS signature segment is accepted, produces the same decoded signature bytes and claims, and changes the serialized token hash. Existing JWS verification controls pass. The behavior is present in the tested release range represented by tags 2.4.0, 2.8.0, 2.10.1, 2.12.1, and 2.13.0.
The security impact is conditional on an application using the raw serialized token as the identity for logout, revocation, replay, rate-limit, or cache state. Under that composition, an attacker who already holds a valid token can use an alternate serialization after the canonical string is revoked. This is not signature forgery or claim alteration; applications should use a semantic identifier such as jti for token identity.
The report is ready to be accepted as a draft for continued remediation. A narrow fix assessment recommends rejecting non-canonical Base64URL characters and padding in compact-JWS segments. No fix commit or release is claimed yet.
Maintainer update — 2026-09-09
The fix has been rebased onto the current master as e6f48401001609a8f99e71fcaf355fb895d508a8 and is ready to be pushed. Compact-JWS header, payload, and signature segments are now required to use the unpadded Base64URL alphabet and canonical re-encoding; a signature segment containing non-canonical characters such as !!!! is rejected before verification. Valid detached b64=false handling remains supported.
Verification on the rebased fix commit passed 372 tests with 4 intentional cryptography-environment skips; Ruff formatting/lint and git diff --check passed. The compressed-payload regression fixture was updated to valid canonical compact-JWS encoding. No release containing the fix has been published yet, so the patched version remains unset pending release planning.
The advisory remains medium severity and unpublished.
Classification update — 2026-09-10
We completed the advisory classification review. The proposed CVSS 3.1 vector is CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N and the proposed CWE classification is CWE-180. The issue permits alternate non-canonical serializations of an already valid signed token to bypass applications that identify tokens by their raw serialization; it does not forge signatures or alter claims. CWE-180 captures validation/canonicalization ordering.
These metadata changes do not alter the affected range, fix status, or lifecycle state.
Maintainer update — 2026-09-11
The verified fix for this advisory is included in PyJWT 2.14.0, released on 2026-09-11 and available on PyPI. PyJWT 2.14.0 is the first release containing the fix. This advisory is now published with 2.14.0 recorded as the patched version.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | pyjwt | all versions | 2.14.0pip install --upgrade 'pyjwt==2.14.0' |
Affected Products
pyjwtpyjwt_projectDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pyjwt, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update pyjwt to 2.14.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-102269 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
| Product | Fixed in | Advisory |
|---|---|---|
| Red Hat AI Inference Server 3.5 | rhaii/vllm-rocm-rhel9:1791425869 | RHSA-2026:82059 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-gaudi-rhel9:1791427182 | RHSA-2026:82061 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-cuda-rhel9:1791473631 | RHSA-2026:82368 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-spyre-rhel9:1791818357 | RHSA-2026:82371 |
| Red Hat AI Inference Server 3.5 | rhaii/vllm-cpu-rhel9:1791473614 | RHSA-2026:82415 |
Frequently Asked Questions
Is CVE-2026-102269 in your dependencies?
Find it across PyPI, including transitive dependencies.