Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1530311729446763B42A7F6C5B732275EB3D08145D9A3060AD2F9C34C4FDFEA0EEA2641 |
|
CONTENT
ssdeep
|
768:U7UeeefeeeQeeeSdqXoceeefeee9eee1eeebC:3eeefeeeQeee0keeefeee9eee1eeebC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b44a3770699d0f2b |
|
VISUAL
aHash
|
0000395b59d6c6c7 |
|
VISUAL
dHash
|
849463b2b2b6968e |
|
VISUAL
wHash
|
00003d7b59dedec7 |
|
VISUAL
colorHash
|
30201008180 |
|
VISUAL
cropResistant
|
849463b2b2b6968e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.