Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEC173E1C015DC36036386D9ABF92B5BB6A2C349DB02098453FC53AB5BCEC60DF625D9 |
|
CONTENT
ssdeep
|
96:TkivKtzH0LKSTnKiEJMSTNjFfCXCHFvWXBX/k+kSTu1JR:QiitzH0LHuiEPdEXT61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b12c1b9b3424cf9b |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5adb5a1f9a5a5a5a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
5adb5a1f9a5a5a5a |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.