Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176429433E600DD2A4D9B5188F1C49688515EC346FB3248C6B17491BF7BC9DF12AE93AD |
|
CONTENT
ssdeep
|
384:PmsVbcEcLchmTn8rniOcSmOdVfMmUFCoFb:Pm2cEcLchZfBUso |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a275484c772add3a |
|
VISUAL
aHash
|
00ffffe7ffff00ff |
|
VISUAL
dHash
|
a2ce180c0c714900 |
|
VISUAL
wHash
|
00270707273f000e |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
ce0c0c4d08414900,2020a0a0402010ca,0121596c6c4c1200 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.