CVE-2024-22194 (GCVE-0-2024-22194)
Vulnerability from cvelistv5 – Published: 2024-01-11 02:21 – Updated: 2025-06-03 14:25
VLAI
EPSS
VEX
Title
cdo-local-uuid vulnerable to insertion of artifact derived from developer's Present Working Directory into demonstration code
Summary
cdo-local-uuid project provides a specialized UUID-generating function that can, on user request, cause a program to generate deterministic UUIDs. An information leakage vulnerability is present in `cdo-local-uuid` at version `0.4.0`, and in `case-utils` in unpatched versions (matching the pattern `0.x.0`) at and since `0.5.0`, before `0.15.0`. The vulnerability stems from a Python function, `cdo_local_uuid.local_uuid()`, and its original implementation `case_utils.local_uuid()`.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-08 20:11 UTC
CWE
Assigner
References
14 references
| URL | Tags |
|---|---|
| https://github.com/Cyber-Domain-Ontology/CDO-Util… | x_refsource_CONFIRM |
| https://github.com/Cyber-Domain-Ontology/CDO-Util… | x_refsource_MISC |
| https://github.com/Cyber-Domain-Ontology/CDO-Util… | x_refsource_MISC |
| https://github.com/Cyber-Domain-Ontology/CDO-Util… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
| https://github.com/casework/CASE-Utilities-Python… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cyber-Domain-Ontology | CDO-Utility-Local-UUID |
Affected:
= 0.4.0
Affected: = 0.5.0 Affected: = 0.6.0 Affected: = 0.7.0 Affected: = 0.8.0 Affected: = 0.9.0 Affected: = 0.10.0 Affected: = 0.11.0 Affected: = 0.12.0 |
guessed |
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"url": "https://github.com/casework/CASE-Utilities-Python/commit/e4ffadc3d56fd303b8f465d727c4a58213d311a1"
},
{
"name": "https://github.com/casework/CASE-Utilities-Python/commit/fca7388f09feccd3b9ea88e6df9c7a43a5349452",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/casework/CASE-Utilities-Python/commit/fca7388f09feccd3b9ea88e6df9c7a43a5349452"
},
{
"name": "https://github.com/casework/CASE-Utilities-Python/commit/fdc32414eccfcbde6be0fd91b7f491cc0779b02d#diff-e60b9cb8fb480ed27283a030a0898be3475992d78228f4045b12ce5cbb2f0509",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/casework/CASE-Utilities-Python/commit/fdc32414eccfcbde6be0fd91b7f491cc0779b02d#diff-e60b9cb8fb480ed27283a030a0898be3475992d78228f4045b12ce5cbb2f0509"
}
],
"source": {
"advisory": "GHSA-rgrf-6mf5-m882",
"discovery": "UNKNOWN"
},
"title": "cdo-local-uuid vulnerable to insertion of artifact derived from developer\u0027s Present Working Directory into demonstration code"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-22194",
"datePublished": "2024-01-11T02:21:53.758Z",
"dateReserved": "2024-01-08T04:59:27.371Z",
"dateUpdated": "2025-06-03T14:25:30.740Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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