Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16923857411212A67734F41F5B4A9DBDEA395F718CE13ED0963BC42BB17CEC808D662A8 |
|
CONTENT
ssdeep
|
768:dorHdUz9j39je9jM9jF9jS9j/gWjLcL/EwjueKU6povoGAqOV00qL42bcHJ8faQC:dohUBt4aXU/1QueKU6po0FqL42bcHJ8w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91b44b6a5a5a4e5b |
|
VISUAL
aHash
|
070f0f0f0f113838 |
|
VISUAL
dHash
|
3f3e3e3cdae3f0d0 |
|
VISUAL
wHash
|
070f1f0f0f1f3c38 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3f3e3e3cdae3f0d0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.