| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.0 | $5k-$25k | 0.00 |
Summary
A vulnerability was found in Apple iOS and iPadOS up to 13.4.1. It has been classified as critical. The affected element is an unknown function of the component Kernel. This manipulation causes integer overflow. This vulnerability is registered as CVE-2020-9852. The attack needs to be launched locally. No exploit is available. Upgrading the affected component is recommended.
Details
A vulnerability classified as critical was found in Apple iOS and iPadOS up to 13.4.1 (Smartphone Operating System). Affected by this vulnerability is an unknown code block of the component Kernel. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. As an impact it is known to affect confidentiality, integrity, and availability.
The weakness was published 05/20/2020 by Tao Huang and Tielei Wang with Pangu Lab as HT211168 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2020-9852. Attacking locally is a requirement. The requirement for exploitation is a single authentication. 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 05/30/2020). It is expected to see the exploit prices for this product increasing in the near future. The advisory points out:
An integer overflow was addressed through improved input validation.
Upgrading to version 13.5 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
Similar entries are available at VDB-155684, VDB-155719, VDB-155738 and VDB-155739. 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: 8.3VulDB Meta Temp Score: 8.1
VulDB Base Score: 8.8
VulDB Temp Score: 8.4
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: Integer overflowCWE: CWE-190 / CWE-189
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 13.5
Timeline
03/02/2020 🔍05/20/2020 🔍
05/20/2020 🔍
05/29/2020 🔍
10/20/2020 🔍
Sources
Vendor: apple.comAdvisory: HT211168
Researcher: Tao Huang, Tielei Wang
Organization: Pangu Lab
Status: Confirmed
CVE: CVE-2020-9852 (🔍)
GCVE (CVE): GCVE-0-2020-9852
GCVE (VulDB): GCVE-100-155755
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 05/30/2020 00:49Updated: 10/20/2020 08:24
Changes: 05/30/2020 00:49 (48), 05/30/2020 00:54 (16), 10/20/2020 08:24 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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