Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD2FA71B090BB3B809797CCF3A2E72A26C7514CD507060642FD97BC8BEBC41E97A45A |
|
CONTENT
ssdeep
|
768:6m1xy5NZAP3vbuijOjB7bl49Q3mWniKXF7sBLy2+y9l0K4/1Ie:zjMvl4qnF7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1ead43c3c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
91ccccc2c2cccc00 |
|
VISUAL
wHash
|
0064f060703cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c400c4014c8c8000,908cccc2cac0cccc |
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.