Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D27432B210263F12B7C3C67761E71EE2E25245DA86090963FC875D4BE7E54DE2392E |
|
CONTENT
ssdeep
|
768:ueFy5NNC2tyrphD7/l2uzTknA/W77sOy2+y9BH4c1Ie:n2tqphVrzT+77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d13a9c29b5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc9c3e3cd0cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200d00258d88000,dcc9c3c3e3cd2cd2 |
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.