CVE-2022-31055 (GCVE-0-2022-31055)
Vulnerability from cvelistv5 – Published: 2022-06-13 15:40 – Updated: 2025-04-23 18:16
VLAI
EPSS
VEX
Title
Improper Access Control in kctf
Summary
kCTF is a Kubernetes-based infrastructure for capture the flag (CTF) competitions. Prior to version 1.6.0, the kctf cluster set-src-ip-ranges was broken and allowed traffic from any IP. The problem has been patched in v1.6.0. As a workaround, those who want to test challenges privately can mark them as `public: false` and use `kctf chal debug port-forward` to connect.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:54 UTC
CWE
- CWE-284 - Improper Access Control
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/google/kctf/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/google/kctf/pull/371 | x_refsource_MISC |
| https://github.com/google/kctf/commit/8cf050be974… | x_refsource_MISC |
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}
],
"metrics": [
{
"cvssV3_1": {
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"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
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"problemTypes": [
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],
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},
"affects": {
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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.
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