Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3534CE83711F3215A7301E741AF3456733EB52B181C09A0A16DE9E9E6B84F6B067FC9 |
|
CONTENT
ssdeep
|
768:FgBAYjLGw9nLybMDKzTpiRGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:GBVGw9nLyYDK3pazev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18ece8f47660726 |
|
VISUAL
aHash
|
e7dfc3c3c7c7c3c7 |
|
VISUAL
dHash
|
4c100e0e1e1e161c |
|
VISUAL
wHash
|
20cfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c100e0e1e1e161c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 33 techniques to evade detection by security scanners and make reverse engineering more difficult.