Google Cardboard on Android/iOS information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.5$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Google Cardboard on Android/iOS. Impacted is an unknown function. This manipulation causes information disclosure. This vulnerability is handled as CVE-2018-19111. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in Google Cardboard on Android/iOS (Forum Software) (the affected version is unknown) and classified as critical. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

The Google Cardboard application 1.8 for Android and 1.2 for iOS sends potentially private cleartext information to the Unity 3D Stats web site, as demonstrated by device make, model, and OS.

The bug was discovered 11/01/2018. The weakness was released 11/08/2018 (Website). It is possible to read the advisory at info-sec.ca. This vulnerability is known as CVE-2018-19111 since 11/08/2018. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/11/2020). The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 7 days. During that time the estimated underground price was around $5k-$25k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 5.6
VulDB Temp Score: 5.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.3
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: 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: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

11/01/2018 🔍
11/08/2018 +7 days 🔍
11/08/2018 +0 days 🔍
11/08/2018 +0 days 🔍
11/08/2018 +0 days 🔍
04/11/2020 +520 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: info-sec.ca
Status: Not defined

CVE: CVE-2018-19111 (🔍)
GCVE (CVE): GCVE-0-2018-19111
GCVE (VulDB): GCVE-100-126571
scip Labs: https://www.scip.ch/en/?labs.20130704

Entryinfo

Created: 11/08/2018 14:48
Updated: 04/11/2020 06:49
Changes: 11/08/2018 14:48 (56), 04/11/2020 06:49 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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