CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.0$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Apple macOS. The impacted element is an unknown function of the component Video Handler. The manipulation leads to out-of-bounds write. This vulnerability is traded as CVE-2024-27873. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in Apple macOS (affected version not known) and classified as critical. This issue affects some unknown functionality of the component Video Handler. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. Using CWE to declare the problem leads to CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. Impacted is availability. The summary by CVE is:

An out-of-bounds write issue was addressed with improved input validation. This issue is fixed in iOS 16.7.9 and iPadOS 16.7.9, iOS 17.6 and iPadOS 17.6, macOS Monterey 12.7.6, macOS Sonoma 14.6, macOS Ventura 13.6.8. Processing a maliciously crafted video file may lead to unexpected app termination.

It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2024-27873 since 02/26/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/04/2026).

Upgrading eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.1
VulDB Meta Temp Score: 5.0

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.5
NVD Vector: 🔍

ADP CISA Base Score: 5.5
ADP CISA Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds write
CWE: CWE-787 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/26/2024 🔍
07/30/2024 +154 days 🔍
07/30/2024 +0 days 🔍
04/04/2026 +613 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: support.apple.com
Status: Confirmed

CVE: CVE-2024-27873 (🔍)
GCVE (CVE): GCVE-0-2024-27873
GCVE (VulDB): GCVE-100-272939
scip Labs: https://www.scip.ch/en/?labs.20180712

Entryinfo

Created: 07/30/2024 09:33
Updated: 04/04/2026 06:58
Changes: 07/30/2024 09:33 (55), 07/31/2024 03:57 (1), 08/13/2024 05:19 (12), 03/16/2025 13:33 (3), 04/04/2026 06:58 (12)
Complete: 🔍
Cache ID: 216:349:103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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