Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9F2413260845A7F12D7C1C767716B0EE6DAD68ACA971A46E7F8C34D0BC7DC0CD22A52 |
|
CONTENT
ssdeep
|
384:hbbVIEJL/r/9GK8+IS7HNEYR9LA1eAsC7JFlEMOMssIfMZabO7Hj2tUCVfXhiOxe:hbbVIEty+IEh2fUfXAEZ7hB3i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c761b95cc2039ea7 |
|
VISUAL
aHash
|
f8002060f000ffff |
|
VISUAL
dHash
|
c192cac86020c841 |
|
VISUAL
wHash
|
fd402060f010ffff |
|
VISUAL
colorHash
|
03000040007 |
|
VISUAL
cropResistant
|
030000d0d20ac244,00a39a96960e9100,71e0d4a2a2d4e0f0,000098a5a6a40000,6073f3a93a32ba9a,6003016140296940,c0824ec8c86020a0 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.