Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F10EF1D444ED3B435385D9A7BA7B0B7792C349CB031A4593F883AB5BCAC60CE21699 |
|
CONTENT
ssdeep
|
192:QaSLnbzD715lt8iILhkhXIMnLYim4MWIMnLE8w:QaSrnf10yhYMnLYFTMnLE8w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc66c64ccc |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c0c100806000800 |
|
VISUAL
wHash
|
24242424c3e30000 |
|
VISUAL
colorHash
|
070000300c0 |
|
VISUAL
cropResistant
|
0c0c10080c160800,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.