Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198F110F1D041ED37035386D9E7BAAF0B7691C349CF430A4593F883AAABDAC60CE11599 |
|
CONTENT
ssdeep
|
96:TkC/nfzD71tDlt8v67McdKSS8LytyReMFM6X0HFaoBX35X/wyti6Df2J:QC/nfzD715lt8iIGvysRC7XYyosfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4131b9b1867c3 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2626262658040000 |
|
VISUAL
wHash
|
ffd3f3d3ff000000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0026262626a60000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.