| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Apple macOS up to 10.15.0. It has been classified as critical. Impacted is an unknown function of the component iTunes. The manipulation leads to untrusted search path. This vulnerability is documented as CVE-2019-8801. The attack needs to be performed locally. There is not any exploit available. Upgrading the affected component is recommended.
Details
A vulnerability was found in Apple macOS up to 10.15.0 (Operating System). It has been rated as critical. This issue affects an unknown code block of the component iTunes. The manipulation with an unknown input leads to a untrusted search path vulnerability. Using CWE to declare the problem leads to CWE-426. The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
A dynamic library loading issue existed in iTunes setup. This was addressed with improved path searching. This issue is fixed in macOS Catalina 10.15.1, iTunes for Windows 12.10.2. Running the iTunes installer in an untrusted directory may result in arbitrary code execution.
The weakness was released 10/29/2019 by Hou JingYi with Qihoo 360 as HT210722 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2019-8801. Attacking locally is a requirement. The requirement for exploitation is a simple authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1574 according to MITRE ATT&CK. The advisory points out:
A dynamic library loading issue existed in iTunes setup. This was addressed with improved path searching.
Upgrading to version 10.15.1 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
Entries connected to this vulnerability are available at VDB-144590, VDB-144591, VDB-144592 and VDB-144593. 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: 6.5VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Untrusted search pathCWE: CWE-426
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: macOS 10.15.1
Timeline
02/18/2019 🔍10/29/2019 🔍
10/29/2019 🔍
10/31/2019 🔍
01/31/2024 🔍
Sources
Vendor: apple.comAdvisory: HT210722
Researcher: Hou JingYi
Organization: Qihoo 360
Status: Confirmed
CVE: CVE-2019-8801 (🔍)
GCVE (CVE): GCVE-0-2019-8801
GCVE (VulDB): GCVE-100-144611
scip Labs: https://www.scip.ch/en/?labs.20180712
See also: 🔍
Entry
Created: 10/31/2019 08:37Updated: 01/31/2024 14:34
Changes: 10/31/2019 08:37 (48), 10/31/2019 08:42 (17), 01/31/2024 14:34 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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