Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138D2737161146F3B02E7C2DAB361672EA2E3C249EB86061643FD835D0FE7E50DE63526 |
|
CONTENT
ssdeep
|
384:Fea1yMj2jKmp1mJ13153zxWWnVMNgmQj/CVcFBcmsHnSeIYsOy2+y9BH4cCUIe:Fea1ynSU0M6s7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd38b8ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c8cccc0d00 |
|
VISUAL
wHash
|
0cfc30200c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,9ccc48d8c8cccc2c |
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.