Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0E2857161506A3B02E783E9B721A72FA2D3C24EDBA30A1153FD835D0BD7E50DE63526 |
|
CONTENT
ssdeep
|
384:QEBeaKfYFNDIbgP1j1G1kHUtMz9wxCBTXxylpdVZelJCFGsRT0ReHqAh6b9HNPPD:9eaKf6pBb9+AnZ7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243f412cd38b9e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
ccccc8c8cccc0d00 |
|
VISUAL
wHash
|
04fc60201c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880880458988000,dcccc8d8c8cccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.