Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F137665F204347D716BDA9CF271BDBFED4DA343CF834860A6A250B052EFEA4C560689 |
|
CONTENT
ssdeep
|
768:AbRjqbmVQfRHD7hRjqbmVQfRH7x4NTiRL:AbkmIDlkmI7x4aL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cea739d893234d9 |
|
VISUAL
aHash
|
2078793d1b1e0c00 |
|
VISUAL
dHash
|
e5d2b3a3b2b6f83b |
|
VISUAL
wHash
|
30797b7f1f1e1c00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000003010000000,e5d2b3a3b2b6f83b |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.