Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BD29631B0106B3B41D3D2D97771AB2FA2A3828EE6960911D2FD83AD4AF3D54DE33516 |
|
CONTENT
ssdeep
|
384:pISby5Nqkrg5twqwnf285nmamGQM4nPhWRct2nIlIYsOy2+y9BH4cCUIe:aSby5Nq9OmeT4ER+7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9261fc12ed1cb1e9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8ccccce0d8dc3c00 |
|
VISUAL
wHash
|
40f66600600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255459e9e556556,1080800458988000,9cccccc8e0d9dc3c |
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.