CVE-2026-20700 (GCVE-0-2026-20700)
Vulnerability from cvelistv5 – Published: 2026-02-11 22:58 – Updated: 2026-04-02 18:23Summary
A memory corruption issue was addressed with improved state management. This issue is fixed in iOS 26.3 and iPadOS 26.3, macOS Tahoe 26.3, tvOS 26.3, visionOS 26.3, watchOS 26.3. An attacker with memory write capability may be able to execute arbitrary code. 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 before iOS 26. CVE-2025-14174 and CVE-2025-43529 were also issued in response to this report.
Severity
7.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-13 04:56 UTC
CWE
- An attacker with memory write capability may be able to execute arbitrary code. 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 before iOS 26. CVE-2025-14174 and CVE-2025-43529 were also issued in response to this report.
- CWE-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer
Assigner
References
Impacted products
5 products
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 453a593e-6c26-4c36-81a2-1d550d822df5
Exploited: Yes
Timestamps
First Seen: 2026-02-12
Asserted: 2026-02-12
Scope
Notes: KEV entry: Apple Multiple Buffer Overflow Vulnerability | Affected: Apple / Multiple Products | Description: Apple iOS, macOS, tvOS, watchOS, and visionOS contain an improper restriction of operations within the bounds of a memory buffer vulnerability that could allow an attacker with memory write the capability to execute arbitrary code. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2026-03-05 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://support.apple.com/en-us/126346 ; https://support.apple.com/en-us/126348 ; https://support.apple.com/en-us/126351 ; https://support.apple.com/en-us/126352 ; https://support.apple.com/en-us/126353 ; https://nvd.nist.gov/vuln/detail/CVE-2026-20700
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-119 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Multiple Products |
| Due Date | 2026-03-05 |
| Date Added | 2026-02-12 |
| Vendorproject | Apple |
| Vulnerabilityname | Apple Multiple Buffer Overflow Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-13 07:17 UTC
| Updated: 2026-02-13 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 03e1f56c-1af9-479b-b2bf-ec469d115229
Exploited: Yes
Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: KEVIntel entry: A memory corruption issue was addressed with improved state management. This issue is fixed in iOS 26.3 and iPadOS 26.3, macOS Tahoe 26.3, tvOS... | Affected: Apple / iOS and iPadOS, macOS, tvOS, visionOS, watchOS | CVSS: 7.8 (HIGH) | EPSS: 0.01319 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | A memory corruption issue was addressed with improved state management. This issue is fixed in iOS 26.3 and iPadOS 26.3, macOS Tahoe 26.3, tvOS... |
| Vendor | Apple |
| Product | iOS and iPadOS, macOS, tvOS, visionOS, watchOS |
| Added Date | 2026-06-01T10:50:52.423Z |
| Cvss Score | 7.8 |
| Epss Score | 0.01319 |
| Cvss Severity | HIGH |
| Epss Percentile | 0.67112 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev |
|
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:03 UTC
| Updated: 2026-07-10 06:14 UTC
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"dateReserved": "2025-11-11T14:43:07.877Z",
"dateUpdated": "2026-04-02T18:23:25.647Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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