Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DF12EF0D050ED3B435386D5A7B66B4BB691C349CF07054497F883AB9BCACA0CF25599 |
|
CONTENT
ssdeep
|
96:TkasUnbzD71tDlt8v67McdtGyt7A3+MwvFOQexXoHFvetXyz/JYfqdtgADhJ:QonbzD715lt8iIGtGyk+ou8Mzhcqd6Gn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9936c6c92ed1998 |
|
VISUAL
aHash
|
ffffffffff818100 |
|
VISUAL
dHash
|
080c12080e171717 |
|
VISUAL
wHash
|
27272727c7810100 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
080c080e08171317,0080299684616804,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.