Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B937933425935270137C6D420A99B3BD2A69E5FFAA70F010EDCD7EB2BE9C90745A11A |
|
CONTENT
ssdeep
|
768:+dS3HJhZtsEJPlEmzkBq1WiJrxVEc4wD7Os2Vn4b:+SHLZtsEJPjQBq1Wixx2cl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4cbcb34c33cc1c9 |
|
VISUAL
aHash
|
ffffcf83838387ff |
|
VISUAL
dHash
|
342c3c1e160e2edc |
|
VISUAL
wHash
|
bf878783838383c7 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
342c3c1e160e2edc,59dcbe60e4d28008,a98d8d8d2d31253d |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.