Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E533CE83751F2254A7301E741AF3456733E752B280C09A0B26DE9E9E6B44F6B067FC9 |
|
CONTENT
ssdeep
|
768:FlUYj+XPCkiTiysTpiYGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:XEX6kiTiTp7zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4469b9964669b99 |
|
VISUAL
aHash
|
ffffc3c3c3c7efff |
|
VISUAL
dHash
|
4e108686869e1e1e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07010000030 |
|
VISUAL
cropResistant
|
4e108686869e1e1e,6d717159754c8822 |
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.