Vulnerability-Lookup

GSD-2022-40899

Vulnerability from gsd - Updated: 2023-12-13 01:19

Details

An issue discovered in Python Charmers Future 0.18.2 and earlier allows remote attackers to cause a denial of service via crafted Set-Cookie header from malicious web server.

Aliases

CVE-2022-40899

Aliases

CVE-2022-40899

JSON

To clipboard

{
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    "alias": "CVE-2022-40899",
    "id": "GSD-2022-40899",
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CVE-2022-40899 (GCVE-0-2022-40899)

Vulnerability from cvelistv5 – Published: 2022-12-22 00:00 – Updated: 2025-04-15 15:52

Summary

An issue discovered in Python Charmers Future 0.18.2 and earlier allows remote attackers to cause a denial of service via crafted Set-Cookie header from malicious web server.

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-15 15:51 UTC

CWE

n/a
CWE-400 - Uncontrolled Resource Consumption

Assigner

mitre mitre root

References

5 references

URL	Tags
https://pypi.org/project/future/
https://github.com/PythonCharmers/python-future/b…
https://github.com/python/cpython/pull/17157
https://pyup.io/posts/pyup-discovers-redos-vulner…
https://github.com/PythonCharmers/python-future/p…

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.