Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C473757182866E3B209386D19398D36BD3C2D605D767869AFBE8831F27C6DB0DD35128 |
|
CONTENT
ssdeep
|
1536:gD3vMuFEDcG301iGwus3609iN2Kv01Wx8RQ8YQ:glUx9pX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84183be356cbcb1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ced183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456929b2b4340,38789d9c8c8c8d8f,82a28a969696a882,c53a38232740070e,968fe9d3832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.