Vulnerabilities > CVE-2014-0997 - Data Processing Errors vulnerability in Google Android 4.1.2/4.2.2/4.4.4

047910
CVSS 7.5 - HIGH
Attack vector
NETWORK
Attack complexity
LOW
Privileges required
NONE
Confidentiality impact
NONE
Integrity impact
NONE
Availability impact
HIGH
network
low complexity
google
CWE-19
exploit available

Summary

WiFiMonitor in Android 4.4.4 as used in the Nexus 5 and 4, Android 4.2.2 as used in the LG D806, Android 4.2.2 as used in the Samsung SM-T310, Android 4.1.2 as used in the Motorola RAZR HD, and potentially other unspecified Android releases before 5.0.1 and 5.0.2 does not properly handle exceptions, which allows remote attackers to cause a denial of service (reboot) via a crafted 802.11 probe response frame.

Vulnerable Configurations

Part Description Count
OS
Google
3
Hardware
Google
2
Hardware
Lg
1
Hardware
Samsung
1
Hardware
Motorola
1

Common Weakness Enumeration (CWE)

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Overflow Buffers
    Buffer Overflow attacks target improper or missing bounds checking on buffer operations, typically triggered by input injected by an attacker. As a consequence, an attacker is able to write past the boundaries of allocated buffer regions in memory, causing a program crash or potentially redirection of execution as per the attackers' choice.
  • XML Nested Payloads
    Applications often need to transform data in and out of the XML format by using an XML parser. It may be possible for an attacker to inject data that may have an adverse effect on the XML parser when it is being processed. By nesting XML data and causing this data to be continuously self-referential, an attacker can cause the XML parser to consume more resources while processing, causing excessive memory consumption and CPU utilization. An attacker's goal is to leverage parser failure to his or her advantage. In most cases this type of an attack will result in a denial of service due to an application becoming unstable, freezing, or crash. However it may be possible to cause a crash resulting in arbitrary code execution, leading to a jump from the data plane to the control plane [R.230.1].
  • XML Oversized Payloads
    Applications often need to transform data in and out of the XML format by using an XML parser. It may be possible for an attacker to inject data that may have an adverse effect on the XML parser when it is being processed. By supplying oversized payloads in input vectors that will be processed by the XML parser, an attacker can cause the XML parser to consume more resources while processing, causing excessive memory consumption and CPU utilization, and potentially cause execution of arbitrary code. An attacker's goal is to leverage parser failure to his or her advantage. In many cases this type of an attack will result in a denial of service due to an application becoming unstable, freezing, or crash. However it is possible to cause a crash resulting in arbitrary code execution, leading to a jump from the data plane to the control plane [R.231.1].
  • XML Client-Side Attack
    Client applications such as web browsers that process HTML data often need to transform data in and out of the XML format by using an XML parser. It may be possible for an attacker to inject data that may have an adverse effect on the XML parser when it is being processed. These adverse effects may include the parser crashing, consuming too much of a resource, executing too slowly, executing code supplied by an attacker, allowing usage of unintended system functionality, etc. An attacker's goal is to leverage parser failure to his or her advantage. In some cases it may be possible to jump from the data plane to the control plane via bad data being passed to an XML parser. [R.484.1]
  • XML Parser Attack
    Applications often need to transform data in and out of the XML format by using an XML parser. It may be possible for an attacker to inject data that may have an adverse effect on the XML parser when it is being processed. These adverse effects may include the parser crashing, consuming too much of a resource, executing too slowly, executing code supplied by an attacker, allowing usage of unintended system functionality, etc. An attacker's goal is to leverage parser failure to his or her advantage. In some cases it may be possible to jump from the data plane to the control plane via bad data being passed to an XML parser. [R.99.1]

Exploit-Db

descriptionAndroid WiFi-Direct Denial of Service. CVE-2014-0997. Dos exploit for android platform
fileexploits/android/dos/35913.txt
idEDB-ID:35913
last seen2016-02-04
modified2015-01-26
platformandroid
port
published2015-01-26
reporterCore Security
sourcehttps://www.exploit-db.com/download/35913/
titleAndroid WiFi-Direct Denial of Service
typedos

Packetstorm

data sourcehttps://packetstormsecurity.com/files/download/130107/CORE-2015-0002.txt
idPACKETSTORM:130107
last seen2016-12-05
published2015-01-26
reporterCore Security Technologies
sourcehttps://packetstormsecurity.com/files/130107/Android-WiFi-Direct-Denial-Of-Service.html
titleAndroid WiFi-Direct Denial Of Service

The Hacker News

idTHN:7184FC48BE34C7704FA6B26AB362856C
last seen2018-01-27
modified2015-01-27
published2015-01-26
reporterSwati Khandelwal
sourcehttps://thehackernews.com/2015/01/WiFi-direct-android-hacking.html
titleAndroid Wi-Fi Direct Vulnerability Lets Hackers to Kick your Devices OFF