Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13153653291866C139097D2D9F1708B0E3381C785CB174B6563F957BEBECECB6AE11298 |
|
CONTENT
ssdeep
|
1536:KYioNeGd291U1xsBn5CI1a1X1CFl1712131xmJBQTjayeeeewyeqeMeeeeHIeeec:KLZ+xsBn5CCAFCxZ8lxs12RaLEY83EDH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cda6693291926d |
|
VISUAL
aHash
|
7d307a0e884e4646 |
|
VISUAL
dHash
|
6967e29a1a98888c |
|
VISUAL
wHash
|
f1f17e0a0b4e4647 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6967e29a1a98888c,cef4649866f83535,d9733369332f3726,d6693248cccc442c,2764e7f7e3ca6823,93d6692371f1e1e0,9597e328d0e0f090 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.