Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E164E1C018DD3603138AD6F7F56B5FB596C359CB020D8463F842EB9BDBCA0CA12699 |
|
CONTENT
ssdeep
|
96:TkFI7moh4lzH0X0eGnVviydt7zh7TSSTwvF8eBXsHFvexXgz/7QPJ:QFI7moh4lzH0Xsnhtdx1Kuo+zDQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d652a86dad42d2ad |
|
VISUAL
aHash
|
003c3c3c0000ffff |
|
VISUAL
dHash
|
06686068020000a8 |
|
VISUAL
wHash
|
007c7c7c0000ffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
c0c0b0b0b030cc8c,0088000000000000,0668606868020000 |
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.