Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E23A676608E6B23027A43D153677F77B3C49284DA638B4983FC43A95ACCEE0ED76506 |
|
CONTENT
ssdeep
|
384:zhIIUrVIm7HP3j/nF7x7egstFAmDuOAR9aeuSgbtr4cflg618WVDxHFVDBvfL9/z:zhIIUym7HbF7x7Hs7WOaTgxXflHySbWy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4cf129bcf248a9a |
|
VISUAL
aHash
|
ffc3c3e3e7c7c3c3 |
|
VISUAL
dHash
|
0f8686861e9e8e86 |
|
VISUAL
wHash
|
87c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06200008040 |
|
VISUAL
cropResistant
|
0f8686861e9e8e86,343a1e2e26343034,2753dbcbdbddd655 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.