CVE-2022-31139 (GCVE-0-2022-31139)
Vulnerability from cvelistv5 – Published: 2022-07-11 18:25 – Updated: 2025-04-23 18:03
VLAI
EPSS
VEX
Title
No security checking for UnsafeAccess.getInstance() in UnsafeAccessor
Summary
UnsafeAccessor (UA) is a bridge to access jdk.internal.misc.Unsafe & sun.misc.Unsafe. Normally, if UA is loaded as a named module, the internal data of UA is protected by JVM and others can only access UA via UA's standard API. The main application can set up `SecurityCheck.AccessLimiter` for UA to limit access to UA. Starting with version 1.4.0 and prior to version 1.7.0, when `SecurityCheck.AccessLimiter` is set up, untrusted code can access UA without limitation, even when UA is loaded as a named module. This issue does not affect those for whom `SecurityCheck.AccessLimiter` is not set up. Version 1.7.0 contains a patch.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:03 UTC
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/Karlatemp/UnsafeAccessor/secur… | x_refsource_CONFIRM |
| https://github.com/Karlatemp/UnsafeAccessor/commi… | x_refsource_MISC |
| https://github.com/Karlatemp/UnsafeAccessor/relea… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Karlatemp | UnsafeAccessor |
Affected:
>= 1.4.0, < 1.7.0
|
guessed |
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"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-200: Exposure of Sensitive Information to an Unauthorized Actor"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/Karlatemp/UnsafeAccessor/security/advisories/GHSA-cr6p-23cf-w9g9",
"refsource": "CONFIRM",
"url": "https://github.com/Karlatemp/UnsafeAccessor/security/advisories/GHSA-cr6p-23cf-w9g9"
},
{
"name": "https://github.com/Karlatemp/UnsafeAccessor/commit/4ef83000184e8f13239a1ea2847ee401d81585fd",
"refsource": "MISC",
"url": "https://github.com/Karlatemp/UnsafeAccessor/commit/4ef83000184e8f13239a1ea2847ee401d81585fd"
},
{
"name": "https://github.com/Karlatemp/UnsafeAccessor/releases/tag/1.7.0",
"refsource": "MISC",
"url": "https://github.com/Karlatemp/UnsafeAccessor/releases/tag/1.7.0"
}
]
},
"source": {
"advisory": "GHSA-cr6p-23cf-w9g9",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-31139",
"datePublished": "2022-07-11T18:25:11.000Z",
"dateReserved": "2022-05-18T00:00:00.000Z",
"dateUpdated": "2025-04-23T18:03:51.382Z",
"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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