Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1532253E1D054ED36076281C6BBB63F6B76A1C345CF02099093F8437AABCAD60DF125AD |
|
CONTENT
ssdeep
|
192:QS4i9gzYhhEq/l8iI4ty3VgU1xzJ3DYy3rtPWl18F:QS4i8GEqd17tWVfDYWrtPW38F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2728dcc08fa03fe |
|
VISUAL
aHash
|
ffc7c7c7ffffff3f |
|
VISUAL
dHash
|
020c0c8c304000d0 |
|
VISUAL
wHash
|
00c7c7c7c0f0f030 |
|
VISUAL
colorHash
|
070000000d8 |
|
VISUAL
cropResistant
|
020c0c8c304000d0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.