Apple iOS/iPadOS App information disclosure

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 (≈)
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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.
3.2$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Apple iOS and iPadOS. This impacts an unknown function of the component App. This manipulation causes information disclosure. The identification of this vulnerability is CVE-2025-31183. The attack can only be executed locally. There is no exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in Apple iOS and iPadOS (the affected version is unknown). Affected by this vulnerability is an unknown code of the component App. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

The issue was addressed with improved restriction of data container access. This issue is fixed in macOS Sonoma 14.7.5, iOS 18.4 and iPadOS 18.4, tvOS 18.4, macOS Sequoia 15.4. An app may be able to access sensitive user data.

The advisory is shared at support.apple.com. This vulnerability is known as CVE-2025-31183 since 03/27/2025. An attack has to be approached locally. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/01/2025). MITRE ATT&CK project uses the attack technique T1592 for this issue.

The vulnerability scanner Nessus provides a plugin with the ID 233570 (macOS 14.x < 14.7.5 Multiple Vulnerabilities (122374)), which helps to determine the existence of the flaw in a target environment.

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (233570). If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

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Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 233570
Nessus Name: macOS 14.x < 14.7.5 Multiple Vulnerabilities (122374)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/27/2025 🔍
04/01/2025 +4 days 🔍
04/01/2025 +0 days 🔍
04/01/2025 +0 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: support.apple.com
Status: Confirmed

CVE: CVE-2025-31183 (🔍)
GCVE (CVE): GCVE-0-2025-31183
GCVE (VulDB): GCVE-100-302509
scip Labs: https://www.scip.ch/en/?labs.20150917

Entryinfo

Created: 04/01/2025 09:07
Updated: 04/01/2025 11:18
Changes: 04/01/2025 09:07 (55), 04/01/2025 11:18 (2)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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