Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E27231329508581F930AA380A2E1F7BB9B86D988DF608D06D5D55FCEFA81F91F57312C |
|
CONTENT
ssdeep
|
192:2VBW/VBDOy0SSV6FZo0ecgBInM4e4ae4Tw4o4+4i4+wkNnhYf8jfv:2y0TYKpcXn/tatTDrNR+RhhYf4fv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b14e4f43e2664e |
|
VISUAL
aHash
|
009fffef00000000 |
|
VISUAL
dHash
|
4c569f9ed865d849 |
|
VISUAL
wHash
|
24ffffff0c003c00 |
|
VISUAL
colorHash
|
38600018000 |
|
VISUAL
cropResistant
|
c1f0b82e2cb3ec9b,f1e97367f6f49c98,cc881bcb6b6b0b8e,4c569f9ed865d849 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.