| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Apple iOS and iPadOS. This affects an unknown function. This manipulation causes symlink. This vulnerability is registered as CVE-2024-44273. The attack needs to be launched locally. No exploit is available. You should upgrade the affected component.
Details
A vulnerability has been found in Apple iOS and iPadOS (affected version not known) and classified as problematic. Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a symlink vulnerability. The CWE definition for the vulnerability is CWE-61. The product, when opening a file or directory, does not sufficiently account for when the file is a symbolic link that resolves to a target outside of the intended control sphere. This could allow an attacker to cause the product to operate on unauthorized files. As an impact it is known to affect confidentiality. The summary by CVE is:
This issue was addressed with improved handling of symlinks. This issue is fixed in iOS 18.1 and iPadOS 18.1, macOS Sequoia 15.1, macOS Sonoma 14.7.1, tvOS 18.1, visionOS 2.1, watchOS 11.1. A malicious app may be able to access private information.
It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2024-44273 since 08/20/2024. The exploitation appears to be easy. Attacking locally is a requirement. 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 04/07/2026).
The vulnerability scanner Nessus provides a plugin with the ID 211697 (macOS 14.x < 14.7.1 Multiple Vulnerabilities (121570)), which helps to determine the existence of the flaw in a target environment.
Upgrading eliminates this vulnerability.
The vulnerability is also documented in the databases at Tenable (211697) and CERT Bund (WID-SEC-2024-3291). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Apple macOS
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.apple.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
ADP CISA Base Score: 5.5
ADP CISA 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: SymlinkCWE: CWE-61 / CWE-59
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 |
Nessus ID: 211697
Nessus Name: macOS 14.x < 14.7.1 Multiple Vulnerabilities (121570)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
08/20/2024 🔍10/28/2024 🔍
10/28/2024 🔍
04/07/2026 🔍
Sources
Vendor: apple.comAdvisory: support.apple.com
Status: Confirmed
CVE: CVE-2024-44273 (🔍)
GCVE (CVE): GCVE-0-2024-44273
GCVE (VulDB): GCVE-100-282235
CERT Bund: WID-SEC-2024-3291 - Apple macOS: Mehrere Schwachstellen
scip Labs: https://www.scip.ch/en/?labs.20150917
Entry
Created: 10/28/2024 22:59Updated: 04/07/2026 05:34
Changes: 10/28/2024 22:59 (54), 11/22/2024 10:05 (2), 08/31/2025 20:35 (7), 04/07/2026 05:34 (22)
Complete: 🔍
Cache ID: 216:2F6:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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