Cyber Resilience

CVE-2026-86904

Published
14 September 2026
Modified
15 September 2026
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
EPSS Score 0.0015 5th percentile
Risk Priority 55 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-86904 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked at the 5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

A01:2025 Broken Access Control

EU & UK References

Vulnerability Data

A privacy issue was addressed with improved state management. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, watchOS 27. An app may be able to track users across apps and websites without permission.

CWE(s)
CWE-359

Related Threats

MITRE ATT&CK Enterprise Techniques

T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
attack.mitre.org →
T1025 Data from Removable Media Collection
Adversaries may search connected removable media on computers they have compromised to find files of interest.
attack.mitre.org →
T1039 Data from Network Shared Drive Collection
Adversaries may search network shares on computers they have compromised to find files of interest.
attack.mitre.org →
T1114 Email Collection Collection
Adversaries may target user email to collect sensitive information.
attack.mitre.org →
T1213 Data from Information Repositories Collection
Adversaries may leverage information repositories to mine valuable information.
attack.mitre.org →
T1530 Data from Cloud Storage Collection
Adversaries may access data from cloud storage.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

Affected Assets

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 2 hardening rules · 2 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V10.3.5
  • V10.7.2

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

AC-15 Automated Marking
addresses: CWE-359

Automated marking identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.

AC-16 Security and Privacy Attributes
addresses: CWE-359

Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.

AC-22 Publicly Accessible Content
addresses: CWE-359

Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.

AC-23 Data Mining Protection
addresses: CWE-359

The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.

AT-2 Literacy Training and Awareness
addresses: CWE-359

Privacy literacy training directly targets preventing exposure of personal information through user mishandling.

CM-12 Information Location
addresses: CWE-359

Tracking locations of sensitive data and access users reduces risk of private personal information exposure.

PL-5 Privacy Impact Assessment
addresses: CWE-359

PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.

PL-8 Security and Privacy Architectures
addresses: CWE-359

The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

RC.CO-04 partial match
degrades

CWE-359 does not impair RC.CO-04's ability to issue approved public recovery updates, yet any resulting PII exposure can partially undermine the outcome's overall efficacy and trust.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.5.14 Information transfer partial match
mitigates

Labeling, chain-of-custody, and access-control requirements limit the exposure of private personal information during any transfer method.

A.5.34 Privacy and protection of PII partial match
prevents

Mandating privacy procedures and a designated privacy officer helps ensure that private personal information is not disclosed without proper authorization or necessity.

A.6.6 Confidentiality or non-disclosure agreements partial match
mitigates

The agreements impose enforceable restrictions on the handling of private personal information, thereby decreasing the risk that such data will be exposed to unauthorized parties.

A.7.7 Clear desk and clear screen partial match
mitigates

Clear-desk and clear-screen rules reduce the likelihood that private personal information remains visible or accessible to unauthorized viewers in shared workspaces.

A.7.9 Security of assets off-premises partial match
mitigates

Guidance against shoulder-surfing and viewing data in public places directly lowers the risk that private personal information displayed on mobile or laptop screens will be observed by unauthorized individuals.

A.8.11 Data masking partial match
prevents

Masking or anonymizing personal identifiers limits the amount of private personal information that can be disclosed through application outputs or logs.

Hardening callouts derived

Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (higher-evidence rows only; rows rated `none` are excluded).

Ubuntu 22.04 (1 rule)
  • V-260531 Ubuntu 22.04 LTS must configure the SSH daemon to use FIPS 140-3-approved ciphers to prevent the unauthorized disclosure of information and/or detect changes to information during transmission. prevents CWE-359
Ubuntu 24.04 (1 rule)
  • V-270670 Ubuntu 24.04 LTS must configure the SSH client to use FIPS 140-3 approved ciphers to prevent the unauthorized disclosure of information and/or detect changes to information during transmission. prevents CWE-359

References