Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D43863923482F2D64578AE0F7E5B7386169C398E627956DF2EC01B217C6C84E93B7C4 |
|
CONTENT
ssdeep
|
768:8WZMGMJjhoTROQhQNssss/QNssssHQNssss4Ixt+030ZhzIW86Jz+Y59:8WZMCOsssscsssskssssRxZE7EWb5zP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3a73c3893c76c31 |
|
VISUAL
aHash
|
0000707c6e702000 |
|
VISUAL
dHash
|
17c7c9c8d8c4c219 |
|
VISUAL
wHash
|
03037d7e7e7e7001 |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
17c7c9c8d8c4c219 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.