| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Apple iOS and iPadOS up to 16.3.1. It has been classified as problematic. Affected is an unknown function of the component Sandbox. Performing a manipulation results in information disclosure. This vulnerability is known as CVE-2023-28178. Attacking locally is a requirement. No exploit is available. Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as problematic, was found in Apple iOS and iPadOS up to 16.3.1 (Smartphone Operating System). This affects an unknown code block of the component Sandbox. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:
A logic issue was addressed with improved validation. This issue is fixed in macOS Ventura 13.3, iOS 16.4 and iPadOS 16.4, macOS Monterey 12.6.4, tvOS 16.4, watchOS 9.4. An app may be able to bypass Privacy preferences.
The weakness was published 03/27/2023 by Yiğit Can Yilmaz as HT213676 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is uniquely identified as CVE-2023-28178. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK. The advisory points out:
An app may be able to bypass Privacy preferences
Upgrading to version 16.4 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability. The advisory contains the following remark:
A logic issue was addressed with improved validation.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-31886). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.apple.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.3
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Upgrade: iOS/iPadOS 16.4
Timeline
03/13/2023 🔍03/27/2023 🔍
03/27/2023 🔍
03/29/2023 🔍
12/02/2025 🔍
Sources
Vendor: apple.comAdvisory: HT213676
Researcher: Yiğit Can Yilmaz
Status: Confirmed
CVE: CVE-2023-28178 (🔍)
GCVE (CVE): GCVE-0-2023-28178
GCVE (VulDB): GCVE-100-224355
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20150917
Entry
Created: 03/29/2023 10:00Updated: 12/02/2025 11:52
Changes: 03/29/2023 10:00 (5), 03/29/2023 10:01 (13), 03/29/2023 10:04 (29), 04/19/2023 08:09 (1), 12/12/2024 19:39 (27), 12/02/2025 11:52 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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