Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146716375228251EF60DB4EE67A52E73DE096C22ED6E7E808E3EC86D557C9C80CC94314 |
|
CONTENT
ssdeep
|
48:YOUjMxRR0znjD4iCZXOn2ountn1kW1rLRW/J1fiE9DvSkiO0rv:hUjMxRRidCwn2o41/1rLwR1/1So0rv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33366cc9999998c |
|
VISUAL
aHash
|
e7c3e7ffffe7e7ff |
|
VISUAL
dHash
|
4d4d4d180c4c0c00 |
|
VISUAL
wHash
|
c3c3c3e7e4c0c0fc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d4d4d180c4c0c00,d9d935daaadcb8b9 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.