Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCE10DF1D450ED3B475386D9A7B96B0B7791C349CF03194493F883AB6BCACA0CB11599 |
|
CONTENT
ssdeep
|
96:TktnbzD71tDlt8v67McdK6ytU6wvF5XLeeXKX1HFjeNXez/ZHYfd2J:QtnbzD715lt8iIGK6y2piIGQQzVcdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6664ccc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c100808100800 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
070000300c0 |
|
VISUAL
cropResistant
|
004c0c10180c0830,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)