Vulnerabilities > CVE-2020-8276 - Cleartext Storage of Sensitive Information vulnerability in Brave

047910
CVSS 2.1 - LOW
Attack vector
LOCAL
Attack complexity
LOW
Privileges required
NONE
Confidentiality impact
PARTIAL
Integrity impact
NONE
Availability impact
NONE
local
low complexity
brave
CWE-312

Summary

The implementation of Brave Desktop's privacy-preserving analytics system (P3A) between 1.1 and 1.18.35 logged the timestamp of when the user last opened an incognito window, including Tor windows. The intended behavior was to log the timestamp for incognito windows excluding Tor windows. Note that if a user has P3A enabled, the timestamp is not sent to Brave's server, but rather a value from:Used in last 24hUsed in last week but not 24hUsed in last 28 days but not weekEver used but not in last 28 daysNever usedThe privacy risk is low because a local attacker with disk access cannot tell if the timestamp corresponds to a Tor window or a non-Tor incognito window.

Vulnerable Configurations

Part Description Count
Application
Brave
1497

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Footprinting
    An attacker engages in probing and exploration activity to identify constituents and properties of the target. Footprinting is a general term to describe a variety of information gathering techniques, often used by attackers in preparation for some attack. It consists of using tools to learn as much as possible about the composition, configuration, and security mechanisms of the targeted application, system or network. Information that might be collected during a footprinting effort could include open ports, applications and their versions, network topology, and similar information. While footprinting is not intended to be damaging (although certain activities, such as network scans, can sometimes cause disruptions to vulnerable applications inadvertently) it may often pave the way for more damaging attacks.
  • Lifting Data Embedded in Client Distributions
    An attacker can resort to stealing data embedded in client distributions or client code in order to gain certain information. This information can reveal confidential contents, such as account numbers, or can be used as an intermediate step in a larger attack (such as by stealing keys/credentials).