Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1728333329729763B40BED4D16A26477B73B3F50AC9930751A7F8C3582BC4D48EE1293A |
|
CONTENT
ssdeep
|
768:IIevd4O6NKZZNCk7LNSyXyV/Rs0BVmoEh:Id4O6NKZZNL7LAyXyZz8xh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96b929666b494c3 |
|
VISUAL
aHash
|
f9f1e181e1ffffff |
|
VISUAL
dHash
|
430303230330070c |
|
VISUAL
wHash
|
e181e181e1dfc3c7 |
|
VISUAL
colorHash
|
07600000000 |
|
VISUAL
cropResistant
|
430303230330070c,4801070e36c6d6d7,cfcbcbebcbcfcfdb |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.