Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E332E1E2D050D93A076341C1F676BBAE77E1C289CF17061413F853AEABCED91991249E |
|
CONTENT
ssdeep
|
192:AyUq52SV9zYhhCc/A8iI4FEAZu9ZNzZ0ZNJKYM7TTOxOiKWlU8F:AyUq52SnGCc417FZZ4ZdZ0ZHM7TTyvK0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b178cec6317a24dc |
|
VISUAL
aHash
|
ffefc3c3c3ffffc3 |
|
VISUAL
dHash
|
089e9e9e9a4d0e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c303 |
|
VISUAL
colorHash
|
06480008040 |
|
VISUAL
cropResistant
|
089e9e9e9a4d0e96,1eaea5edacac8a1c,00028956362a05d6 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.