Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9533CE83755F2255B7301E741AF3416333E752B280D09A0F229E9E9E5B44EAB067FC9 |
|
CONTENT
ssdeep
|
768:FDYjDLP74QlGpY5mUGACTpiRGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/3:ALkKGpY5VGAMp2zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4cc9b9264669b33 |
|
VISUAL
aHash
|
f7ffc7f3c3e7c7c7 |
|
VISUAL
dHash
|
4c101606060e1e0e |
|
VISUAL
wHash
|
00dfc3c3c3c7c3c3 |
|
VISUAL
colorHash
|
07000000c10 |
|
VISUAL
cropResistant
|
4c101606060e1e0e,630703f07f370fcc |
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.