Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FD29531A0443B3F039783D9B750F76AA3D3928DE786050962FD935D4BD7E90EA2352A |
|
CONTENT
ssdeep
|
768:UwSky5NK38P544Eit44aA47sOy2+y9BH4crIe:UI8+Nywh7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342d43e9d2995c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8cccccacc2c9200 |
|
VISUAL
wHash
|
00fc7c600604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,c8ccccc0cacc2c0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.