6.8 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:P/I:P/A:P
8.1 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
8.2 High
AI Score
Confidence
High
0.002 Low
EPSS
Percentile
61.3%
An issue was discovered in the Bluetooth component of the Cypress (formerly owned by Broadcom) Wireless IoT codebase. Extended Inquiry Responses (EIRs) are improperly handled, which causes a heap-based buffer overflow during device inquiry. This overflow can be used to overwrite existing functions with arbitrary code. The Reserved for Future Use (RFU) bits are not discarded by eir_handleRx(), and are included in an EIR’s length. Therefore, one can exceed the expected 240 bytes, which leads to a heap-based buffer overflow in eir_getReceivedEIR() called by bthci_event_SendInquiryResultEvent(). In order to exploit this bug, an attacker must repeatedly connect to the victim’s device in a short amount of time from different source addresses. This will cause the victim’s Bluetooth stack to resolve the device names and therefore allocate buffers with attacker-controlled data. Due to the heap corruption, the name will be eventually written to an attacker-controlled location, leading to a write-what-where condition.
CPE | Name | Operator | Version |
---|---|---|---|
google:android | google android | eq | - |
6.8 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:P/I:P/A:P
8.1 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
8.2 High
AI Score
Confidence
High
0.002 Low
EPSS
Percentile
61.3%