Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5C111E0C514EE37471285C997FA6B0BB7D2C359CF021844D7F887AB57CAC60CA265AD |
|
CONTENT
ssdeep
|
96:Tk5TjzeNQeSTgGaVgF/2XvNwvFmeBXvX/Pe7ICY3kPkyJ:Q5TjzewkGaVD85XXOdPT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c94d4b5b6d404b |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
dfde8e0e2f8f1e0e |
|
VISUAL
wHash
|
074fe7c707470707 |
|
VISUAL
colorHash
|
0e200000c00 |
|
VISUAL
cropResistant
|
dcd4d0d0dbdbd0d0,dfde8e0e2f8f1e0e |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.