CVE-2024-6285 (GCVE-0-2024-6285)
Vulnerability from cvelistv5 – Published: 2024-06-24 15:32 – Updated: 2024-08-01 21:33
VLAI
EPSS
VEX
Title
Integer Underflow in Memory Range Check in Renesas RCAR
Summary
Integer Underflow (Wrap or Wraparound) vulnerability in Renesas arm-trusted-firmware.
An integer underflow in image range check calculations could lead to bypassing address restrictions and loading of images to unallowed addresses.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-24 20:03 UTC
CWE
- CWE-191 - Integer Underflow (Wrap or Wraparound)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/renesas-rcar/arm-trusted-firmw… | patch |
| https://asrg.io/security-advisories/cve-2024-6285/ | third-party-advisory |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Renesas | rcar_gen3_v2.5 |
Affected:
c2f286820471ed276c57e603762bd831873e5a17 , < b596f580637bae919b0ac3a5471422a1f756db3b
(git)
|
guessed | |
| renesas | rcar_gen3_v2.5 |
Affected:
c2f286820471ed276c57e603762bd831873e5a17 , < b596f580637bae919b0ac3a5471422a1f756db3b
(custom)
cpe:2.3:a:renesas:rcar_gen3_v2.5:*:*:*:*:*:*:*:* |
Date Public
2023-04-23 09:46
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}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-191",
"description": "CWE-191 Integer Underflow (Wrap or Wraparound)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-06-24T15:32:13.776Z",
"orgId": "c15abc07-96a9-4d11-a503-5d621bfe42ba",
"shortName": "ASRG"
},
"references": [
{
"tags": [
"patch"
],
"url": "https://github.com/renesas-rcar/arm-trusted-firmware/commit/b596f580637bae919b0ac3a5471422a1f756db3b"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://asrg.io/security-advisories/cve-2024-6285/"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Integer Underflow in Memory Range Check in Renesas RCAR",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "c15abc07-96a9-4d11-a503-5d621bfe42ba",
"assignerShortName": "ASRG",
"cveId": "CVE-2024-6285",
"datePublished": "2024-06-24T15:32:13.776Z",
"dateReserved": "2024-06-24T15:12:23.397Z",
"dateUpdated": "2024-08-01T21:33:05.317Z",
"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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