Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBD2C572B110263F529BC3C9B722F75AA2E3928DD749080553FD835D4BD7E60DE2362A |
|
CONTENT
ssdeep
|
768:3GISzy5NHvvWU8VqUAQU60bLZsJu7O50xJjdpGissGbyre8YwzZhb7sOy2+y9BH3:sG+JuX6byKg7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f53a963eace0 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c2c3c8cdc98b00 |
|
VISUAL
wHash
|
60fb70300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2d3c2cccdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.