| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 2.3 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Apple iOS up to 10.3.3. The affected element is an unknown function. Performing a manipulation results in information disclosure (Screen). This vulnerability is identified as CVE-2017-7139. The attack may be carried out on the physical device. There is not any exploit available. You should upgrade the affected component.
Details
A vulnerability was found in Apple iOS up to 10.3.3 (Smartphone Operating System). It has been classified as problematic. This affects some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability (Screen). CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality.
The bug was discovered 10/10/2017. The weakness was released 09/25/2017 as HT208112 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is uniquely identified as CVE-2017-7139 since 03/17/2017. The exploitability is told to be easy. Attacking locally is a requirement. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK. The advisory points out:
A timing issue existed in the handling of locking. This issue was addressed by disabling screenshots while locking.
Upgrading to version 11 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 101000†). Entries connected to this vulnerability are available at VDB-102678, VDB-107049, VDB-107050 and VDB-107051. 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: 2.4VulDB Meta Temp Score: 2.3
VulDB Base Score: 2.4
VulDB Temp Score: 2.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 2.4
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
Name: ScreenClass: Information disclosure / Screen
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: Yes
Local: Yes
Remote: No
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 11
Timeline
03/17/2017 🔍09/25/2017 🔍
09/25/2017 🔍
09/25/2017 🔍
10/10/2017 🔍
10/22/2017 🔍
10/23/2017 🔍
01/19/2021 🔍
Sources
Vendor: apple.comAdvisory: HT208112
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2017-7139 (🔍)
GCVE (CVE): GCVE-0-2017-7139
GCVE (VulDB): GCVE-100-108411
SecurityFocus: 101000
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 10/23/2017 11:21Updated: 01/19/2021 15:23
Changes: 10/23/2017 11:21 (65), 11/29/2019 09:50 (3), 01/19/2021 15:17 (2), 01/19/2021 15:23 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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