CVE-2025-31200 (GCVE-0-2025-31200)
Vulnerability from cvelistv5 – Published: 2025-04-16 18:24 – Updated: 2026-04-02 18:25- Processing an audio stream in a maliciously crafted media file may result in code execution. Apple is aware of a report that this issue may have been exploited in an extremely sophisticated attack against specific targeted individuals on versions of iOS released before iOS 18.4.1.
- CWE-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Multiple Products |
| Due Date | 2025-05-08 |
| Date Added | 2025-04-17 |
| Vendorproject | Apple |
| Vulnerabilityname | Apple Multiple Products Memory Corruption Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | A memory corruption issue was addressed with improved bounds checking. This issue is fixed in iOS 18.4.1 and iPadOS 18.4.1, macOS Sequoia 15.4.1,... |
| Cve Id | CVE-2025-31200 |
| Vendor | Apple |
| Ghsa Id | None |
| Product | iOS and iPadOS, macOS, tvOS, visionOS, watchOS |
| Added Date | 2025-04-17T00:00:00.000Z |
| Cvss Score | 7.5 |
| Epss Score | 0.18751 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.97196 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2025-31200 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
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"problemTypes": [
{
"descriptions": [
{
"description": "Processing an audio stream in a maliciously crafted media file may result in code execution. Apple is aware of a report that this issue may have been exploited in an extremely sophisticated attack against specific targeted individuals on iOS.",
"lang": "en"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-04-16T18:24:31.578Z",
"orgId": "286789f9-fbc2-4510-9f9a-43facdede74c",
"shortName": "apple"
},
"references": [
{
"url": "https://support.apple.com/en-us/122402"
},
{
"url": "https://support.apple.com/en-us/122282"
},
{
"url": "https://support.apple.com/en-us/122401"
},
{
"url": "https://support.apple.com/en-us/122400"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "286789f9-fbc2-4510-9f9a-43facdede74c",
"assignerShortName": "apple",
"cveId": "CVE-2025-31200",
"datePublished": "2025-04-16T18:24:31.578Z",
"dateReserved": "2025-03-27T16:13:58.313Z",
"dateUpdated": "2026-02-26T18:28:12.610Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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.
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.
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.