Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBE10EF1D000ED3B435386D9A7BA6B1B7691C349CB070A4553F883AA6FDACA0CE25599 |
|
CONTENT
ssdeep
|
96:TkInbzD71tDlt8v67Mcdw5ZSS8ctMWFZ4uXOHF4iXzz/7mtrcfd2J:QInbzD715lt8iIGw5XqzfzKVwdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b99199b1b93 |
|
VISUAL
aHash
|
fff3ffffffffff00 |
|
VISUAL
dHash
|
0626060606060010 |
|
VISUAL
wHash
|
03030303f3f3f300 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
062606060606060a,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.