Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5529821A686293705B313C00B82F71FF7C89181A1174EC6D5FD875A9A8AEE8CD7271F |
|
CONTENT
ssdeep
|
384:0v/O44C/JY8RnLXzka9WiGRBoSnVxNbfreFri:R44B4Qa9WjRBomxNjk2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
899c66b6b9319c6c |
|
VISUAL
aHash
|
3c3c18181818243c |
|
VISUAL
dHash
|
e861b2b2b2f0ccf0 |
|
VISUAL
wHash
|
7e3c18183c3c7c7c |
|
VISUAL
colorHash
|
30c00010000 |
|
VISUAL
cropResistant
|
93d2f8b94af271e0,e861b2b2b2f0ccf0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.