Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5D2A872B0106B3F03A783C9B751B75EA3E35245DA97090682FD476E4BD7F80D923626 |
|
CONTENT
ssdeep
|
768:zHSFy5Njq0mC1FI0L4e7xqv/XNmO7sOy2+y9BH4c1Ie:z80mC87/9f7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373f838cd2d84c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1808ccc0cc0d0f00 |
|
VISUAL
wHash
|
00e4f0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,d408ccc0c0cced2f |
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.