Apple iOS/iPadOS up to 13.5.1 Safari Login AutoFill information disclosure

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, was found in Apple iOS and iPadOS up to 13.5.1. The impacted element is an unknown function of the component Safari Login AutoFill. Such manipulation leads to information disclosure. This vulnerability is traded as CVE-2020-9903. The attack may be launched remotely. There is no exploit available. You should upgrade the affected component.
Details
A vulnerability was found in Apple iOS and iPadOS up to 13.5.1 (Smartphone Operating System) and classified as problematic. Affected by this issue is some unknown functionality of the component Safari Login AutoFill. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality.
The weakness was shared 07/15/2020 by Nikhil Mittal with Payatu Labs as HT211288 as confirmed advisory (Website). The advisory is available at support.apple.com. This vulnerability is handled as CVE-2020-9903. The attack may be launched remotely. No form of authentication is required for exploitation. Successful exploitation requires user interaction by the victim. The technical details are unknown and an exploit is not available. The structure of the vulnerability defines a possible price range of USD $0-$5k 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.This vulnerability is assigned to T1592 by the MITRE ATT&CK project. The advisory points out:
A logic issue was addressed with improved restrictions.
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 related to this item. If you want to get best quality of vulnerability data, you may have to visit VulDB.
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: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
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: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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: Nikhil Mittal
Organization: Payatu Labs
Status: Confirmed
CVE: CVE-2020-9903 (🔍)
GCVE (CVE): GCVE-0-2020-9903
GCVE (VulDB): GCVE-100-158594
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 07/16/2020 18:18Updated: 11/03/2020 11:45
Changes: 07/16/2020 18:18 (47), 07/16/2020 18:23 (2), 11/03/2020 11:40 (2), 11/03/2020 11:45 (8)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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