CVE-2025-65832 (GCVE-0-2025-65832)
Vulnerability from cvelistv5 – Published: 2025-12-10 00:00 – Updated: 2025-12-11 20:35
VLAI
EPSS
VEX
Summary
The mobile application insecurely handles information stored within memory. By performing a memory dump on the application after a user has logged out and terminated it, Wi-Fi credentials sent during the pairing process, JWTs used for authentication, and other sensitive details can be retrieved. As a result, an attacker with physical access to the device of a victim can retrieve this information and gain unauthorized access to their home Wi-Fi network and Meatmeet account.
Severity
4.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-11 20:02 UTC
CWE
- n/a
- CWE-316 - Cleartext Storage of Sensitive Information in Memory
Assigner
References
{
"containers": {
"adp": [
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "PHYSICAL",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2025-65832",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-11T20:02:45.425042Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-316",
"description": "CWE-316 Cleartext Storage of Sensitive Information in Memory",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-11T20:35:11.370Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "The mobile application insecurely handles information stored within memory. By performing a memory dump on the application after a user has logged out and terminated it, Wi-Fi credentials sent during the pairing process, JWTs used for authentication, and other sensitive details can be retrieved. As a result, an attacker with physical access to the device of a victim can retrieve this information and gain unauthorized access to their home Wi-Fi network and Meatmeet account."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "n/a",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-10T20:44:10.811Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"url": "https://github.com/dead1nfluence/Meatmeet-Pro-Vulnerabilities/blob/main/Mobile-Application/Sensitive%20Information-Stored-in-Memory.md"
},
{
"url": "https://gist.github.com/dead1nfluence/4dffc239b4a460f41a03345fd8e5feb5#file-sensitive-information-stored-in-memory-md"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2025-65832",
"datePublished": "2025-12-10T00:00:00.000Z",
"dateReserved": "2025-11-18T00:00:00.000Z",
"dateUpdated": "2025-12-11T20:35:11.370Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2025-65832",
"date": "2026-09-23",
"epss": "0.0014",
"percentile": "0.03713"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:meatmeet:meatmeet:1.1.2.0:*:*:*:pro:android:*:*",
"matchCriteriaId": "5728B254-9D91-4EA1-9C7B-B4957DE1D77D",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The mobile application insecurely handles information stored within memory. By performing a memory dump on the application after a user has logged out and terminated it, Wi-Fi credentials sent during the pairing process, JWTs used for authentication, and other sensitive details can be retrieved. As a result, an attacker with physical access to the device of a victim can retrieve this information and gain unauthorized access to their home Wi-Fi network and Meatmeet account."
}
],
"id": "CVE-2025-65832",
"lastModified": "2026-06-17T09:55:59.487",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "PHYSICAL",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 0.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-65832",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-11T20:02:45.425042Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-10T21:16:09.027",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://gist.github.com/dead1nfluence/4dffc239b4a460f41a03345fd8e5feb5#file-sensitive-information-stored-in-memory-md"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/dead1nfluence/Meatmeet-Pro-Vulnerabilities/blob/main/Mobile-Application/Sensitive%20Information-Stored-in-Memory.md"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-316"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-12-11T05:03:47+00:00",
"cve": "CVE-2025-65832",
"id": "CVE-2025-65832",
"initial_release_date": "2025-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2025-65832",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-65832.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "PHYSICAL",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2025-65832",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-11T20:02:45.425042Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-316",
"description": "CWE-316 Cleartext Storage of Sensitive Information in Memory",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-11T20:02:54.195Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "The mobile application insecurely handles information stored within memory. By performing a memory dump on the application after a user has logged out and terminated it, Wi-Fi credentials sent during the pairing process, JWTs used for authentication, and other sensitive details can be retrieved. As a result, an attacker with physical access to the device of a victim can retrieve this information and gain unauthorized access to their home Wi-Fi network and Meatmeet account."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "n/a",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-12-10T20:44:10.811Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"url": "https://github.com/dead1nfluence/Meatmeet-Pro-Vulnerabilities/blob/main/Mobile-Application/Sensitive%20Information-Stored-in-Memory.md"
},
{
"url": "https://gist.github.com/dead1nfluence/4dffc239b4a460f41a03345fd8e5feb5#file-sensitive-information-stored-in-memory-md"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2025-65832",
"datePublished": "2025-12-10T00:00:00.000Z",
"dateReserved": "2025-11-18T00:00:00.000Z",
"dateUpdated": "2025-12-11T20:35:11.370Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…