Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AE2A7326144AB3B02D392D5B720A71EB3E79289E786061643FD875C0FE7E41DE7351A |
|
CONTENT
ssdeep
|
384:Tea+1D2bS1D1O1RxymlZ8dKnB/4/CySFBiuBRq2fiaH2A7n+nLriIYsOy2+y9BH7:Tea+IudcA6PFBfV77sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd38bce9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc48c0cccc0d00 |
|
VISUAL
wHash
|
04fc30300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,cccc48e0c8cccc2c |
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.