Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145635631A18658139097D2D9F1709B0E3381C785CB134F6563F957BEBECECB6AE21298 |
|
CONTENT
ssdeep
|
1536:7Jivf5r6IB86zPOd91p1Jih131C1bsYl171Fld1t1TptiTi3lBfyeeeewyeqeMev:e6X6KrJiDlIbDZFlfPn12LKPegCK83Er |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3cc363193c99661 |
|
VISUAL
aHash
|
3030787840464646 |
|
VISUAL
dHash
|
6967e3d29a8a9a8c |
|
VISUAL
wHash
|
b130787b43c3c3c7 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
6967e3d29a8a9a8c,f9f8c430e7f26464,337931e5312f2b33,b6b2cd111d9d3a4b,2764e7f7e3ca6823,d7693248cccc442c,77961203835261cf,9793d6c569a27171 |
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.