| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $5k-$25k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Apple iOS and iPadOS up to 13.5.1. This vulnerability affects unknown code of the component Audio. The manipulation leads to memory corruption. This vulnerability is traded as CVE-2020-9891. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.
Details
A vulnerability was found in Apple iOS and iPadOS up to 13.5.1 (Smartphone Operating System). It has been rated as critical. This issue affects an unknown functionality of the component Audio. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability.
The weakness was shared 07/15/2020 by JunDong Xie and XingWei Li with Ant-financial Light-Year Security Lab as HT211288 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2020-9891. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 07/16/2020). It is expected to see the exploit prices for this product increasing in the near future. The advisory points out:
An out-of-bounds read was addressed with improved bounds checking.
Upgrading to version 13.6 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The entries VDB-158577, VDB-158578, VDB-158580 and VDB-158581 are related to this item. 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: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
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: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
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 13.6
Timeline
03/02/2020 🔍07/15/2020 🔍
07/15/2020 🔍
07/16/2020 🔍
11/03/2020 🔍
Sources
Vendor: apple.comAdvisory: HT211288
Researcher: JunDong Xie, XingWei Li
Organization: Ant-financial Light-Year Security Lab
Status: Confirmed
CVE: CVE-2020-9891 (🔍)
GCVE (CVE): GCVE-0-2020-9891
GCVE (VulDB): GCVE-100-158579
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 07/16/2020 18:13Updated: 11/03/2020 09:00
Changes: 07/16/2020 18:13 (47), 07/16/2020 18:18 (2), 11/03/2020 08:51 (2), 11/03/2020 09:00 (8)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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