Vulnerabilities > CVE-2018-21139 - Information Exposure vulnerability in Netgear products
Summary
Certain NETGEAR devices are affected by disclosure of sensitive information. This affects D1500 before 1.0.0.27, D500 before 1.0.0.27, D6100 before 1.0.0.58, D6200 before 1.1.00.30, D6220 before 1.0.0.46, D6400 before 1.0.0.82, D7000 before 1.0.1.68, D7000v2 before 1.0.0.51, D7800 before 1.0.1.42, D8500 before 1.0.3.42, DC112A before 1.0.0.40, DGN2200Bv4 before 1.0.0.102, DGN2200v4 before 1.0.0.102, JNR1010v2 before 1.1.0.54, JR6150 before 1.0.1.18, JWNR2010v5 before 1.1.0.54, PR2000 before 1.0.0.24, R6020 before 1.0.0.34, R6050 before 1.0.1.18, R6080 before 1.0.0.34, R6100 before 1.0.1.22, R6120 before 1.0.0.42, R6220 before 1.1.0.68, R6250 before 1.0.4.30, R6300v2 before 1.0.4.32, R6400 before 1.0.1.44, R6400v2 before 1.0.2.60, R6700 before 1.0.1.48, R6700v2 before 1.2.0.24, R6800 before 1.2.0.24, R6900 before 1.0.1.48, R6900P before 1.3.1.44, R6900v2 before 1.2.0.24, R7000 before 1.0.9.34, R7000P before 1.3.1.44, R7100LG before 1.0.0.48, R7300 before 1.0.0.68, R7500 before 1.0.0.124, R7500v2 before 1.0.3.38, R7900 before 1.0.2.16, R7900P before 1.4.1.24, R8000 before 1.0.4.18, R8000P before 1.4.1.24, R8300 before 1.0.2.122, R8500 before 1.0.2.122, WN3000RP before 1.0.0.68, WN3000RPv2 before 1.0.0.68, WNDR3400v3 before 1.0.1.18, WNDR3700v4 before 1.0.2.102, WNDR3700v5 before 1.1.0.54, WNDR4300v1 before 1.0.2.104, WNDR4300v2 before 1.0.0.56, WNDR4500v3 before 1.0.0.56, WNR1000v4 before 1.1.0.54, WNR2020 before 1.1.0.54, WNR2050 before 1.1.0.54, and WNR3500Lv2 before 1.2.0.54.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Subverting Environment Variable Values The attacker directly or indirectly modifies environment variables used by or controlling the target software. The attacker's goal is to cause the target software to deviate from its expected operation in a manner that benefits the attacker.
- 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.
- Exploiting Trust in Client (aka Make the Client Invisible) An attack of this type exploits a programs' vulnerabilities in client/server communication channel authentication and data integrity. It leverages the implicit trust a server places in the client, or more importantly, that which the server believes is the client. An attacker executes this type of attack by placing themselves in the communication channel between client and server such that communication directly to the server is possible where the server believes it is communicating only with a valid client. There are numerous variations of this type of attack.
- Browser Fingerprinting An attacker carefully crafts small snippets of Java Script to efficiently detect the type of browser the potential victim is using. Many web-based attacks need prior knowledge of the web browser including the version of browser to ensure successful exploitation of a vulnerability. Having this knowledge allows an attacker to target the victim with attacks that specifically exploit known or zero day weaknesses in the type and version of the browser used by the victim. Automating this process via Java Script as a part of the same delivery system used to exploit the browser is considered more efficient as the attacker can supply a browser fingerprinting method and integrate it with exploit code, all contained in Java Script and in response to the same web page request by the browser.
- Session Credential Falsification through Prediction This attack targets predictable session ID in order to gain privileges. The attacker can predict the session ID used during a transaction to perform spoofing and session hijacking.