| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Apple iOS and iPadOS up to 13.5.1. Affected by this vulnerability is an unknown functionality of the component ImageIO. This manipulation causes memory corruption. This vulnerability is tracked as CVE-2020-9936. The attack is possible to be carried out remotely. No exploit exists. You should 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 declared as critical. Affected by this vulnerability is some unknown functionality of the component ImageIO. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.
The weakness was disclosed 07/15/2020 by Mickey Jin with Trend Micro as HT211288 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2020-9936. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 write issue 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-158579 and VDB-158580 are pretty similar. 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: Mickey Jin
Organization: Trend Micro
Status: Confirmed
CVE: CVE-2020-9936 (🔍)
GCVE (CVE): GCVE-0-2020-9936
GCVE (VulDB): GCVE-100-158587
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 07/16/2020 18:16Updated: 11/03/2020 10:36
Changes: 07/16/2020 18:16 (47), 07/16/2020 18:21 (2), 11/03/2020 10:27 (2), 11/03/2020 10:36 (8)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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