CVE-2019-7287 (GCVE-0-2019-7287)
Vulnerability from cvelistv5 – Published: 2019-12-18 17:33 – Updated: 2025-10-21 23:35Summary
A memory corruption issue was addressed with improved input validation. This issue is fixed in iOS 12.1.4. An application may be able to execute arbitrary code with kernel privileges.
Severity
7.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 17:42 UTC
CWE
- An application may be able to execute arbitrary code with kernel privileges
- CWE-787 - Out-of-bounds Write
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://support.apple.com/HT209520 | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 3b502346-2fd6-4b79-9c5b-ccc0bdd779cc
Exploited: Yes
Timestamps
First Seen: 2022-05-23
Asserted: 2022-05-23
Scope
Notes: KEV entry: Apple iOS Memory Corruption Vulnerability | Affected: Apple / iOS | Description: Apple iOS contains a memory corruption vulnerability which could allow an attacker to perform remote code execution. | Required action: Apply updates per vendor instructions. | Due date: 2022-06-13 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2019-7287
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-787 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | iOS |
| Due Date | 2022-06-13 |
| Date Added | 2022-05-23 |
| Vendorproject | Apple |
| Vulnerabilityname | Apple iOS Memory Corruption Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:27 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: bab82bf0-1317-4f0f-b476-c6f64f14b428
Exploited: Yes
Timestamps
First Seen: 2022-05-23
Asserted: 2022-05-23
Scope
Notes: KEVIntel entry: A memory corruption issue was addressed with improved input validation. This issue is fixed in iOS 12.1.4. An application may be able to execute... | Affected: Apple / iOS | CVSS: 7.8 (HIGH) | 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 input validation. This issue is fixed in iOS 12.1.4. An application may be able to execute... |
| Vendor | Apple |
| Product | iOS |
| Added Date | 2022-05-23T00:00:00.000Z |
| Cvss Score | 7.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:05 UTC
| Updated: 2026-07-10 06:14 UTC
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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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