Apple iOS/iPadOS/macOS/tvOS up to 27.1 improper authentication

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.
9.5$5k-$25k0.32-

Summaryinfo

A vulnerability classified as very critical was found in Apple iOS, iPadOS, macOS and tvOS up to 27.1. This vulnerability affects unknown code. Executing a manipulation can lead to improper authentication. This vulnerability appears as CVE-2026-112595. The attack may be performed from remote. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability has been found in Apple iOS, iPadOS, macOS and tvOS up to 27.1 and classified as very critical. This vulnerability affects an unknown function. The manipulation with an unknown input leads to a improper authentication vulnerability. The CWE definition for the vulnerability is CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

This issue was addressed with improved authentication. This issue is fixed in iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, tvOS 27.2. An attacker in physical proximity may be able to craft malicious network traffic to gain access to a Thread network.

The advisory is shared for download at support.apple.com. This vulnerability was named CVE-2026-112595 since 10/19/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $5k-$25k (estimation calculated on 10/26/2026).

Upgrading to version 27.2 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Vendor

Name

Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 10.0
VulDB Meta Temp Score: 9.5

VulDB Base Score: 10.0
VulDB Temp Score: 9.5
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: Improper authentication
CWE: CWE-287
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: iOS/iPadOS/macOS/tvOS 27.2

Timelineinfo

10/19/2026 CVE reserved
10/26/2026 +7 days Advisory disclosed
10/26/2026 +0 days VulDB entry created
10/26/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: apple.com

Advisory: support.apple.com
Status: Confirmed

CVE: CVE-2026-112595 (🔒)
GCVE (CVE): GCVE-0-2026-112595
GCVE (VulDB): GCVE-100-426748
scip Labs: https://www.scip.ch/en/?labs.20180712

Entryinfo

Created: 10/26/2026 22:35
Changes: 10/26/2026 22:35 (55)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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