FKIE_CVE-2023-29146
Vulnerability from fkie_nvd - Published: 2026-06-09 19:16 - Updated: 2026-07-23 08:10
Severity
Summary
The utility functions used by Malwarebytes EDR 1.0.11 on Linux for calculating a cryptographic hash of data bytes truncate the hashed data if it exceeds 4GB. This leads to an integer wrap-around if the data is larger than the maximum unsigned integer value (32-bit). Attackers could create a colliding hash value for two different strings by attaching 4GB of data to a string that is less than 4GB in size.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The utility functions used by Malwarebytes EDR 1.0.11 on Linux for calculating a cryptographic hash of data bytes truncate the hashed data if it exceeds 4GB. This leads to an integer wrap-around if the data is larger than the maximum unsigned integer value (32-bit). Attackers could create a colliding hash value for two different strings by attaching 4GB of data to a string that is less than 4GB in size."
},
{
"lang": "es",
"value": "Las funciones de utilidad utilizadas por Malwarebytes EDR 1.0.11 en Linux para calcular un hash criptogr\u00e1fico de bytes de datos truncan los datos hasheados si exceden los 4 GB. Esto lleva a un desbordamiento de enteros si los datos son mayores que el valor m\u00e1ximo de un entero sin signo (32 bits). Los atacantes podr\u00edan crear un valor de hash colisionante para dos cadenas diferentes al adjuntar 4 GB de datos a una cadena de menos de 4 GB de tama\u00f1o."
}
],
"id": "CVE-2023-29146",
"lastModified": "2026-07-23T08:10:00.137",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.5,
"impactScore": 6.0,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2023-29146",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-09T19:25:19.081019Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-09T19:16:41.760",
"references": [
{
"source": "cve@mitre.org",
"url": "https://www.malwarebytes.com/secure/cves/cve-2023-29146"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-190"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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.
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