Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFC2B431A000363F22A793C9B351F76EA2E3D149EB56181542F9872E5FD7E90DE1362B |
|
CONTENT
ssdeep
|
768:AlSFy5Ntyh/YWcleEobsC7sOy2+y9BH4crIe:f/YWccEoAC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acc2c81c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8c0c80d0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408ccc0c0cccc0f |
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.
Pages with identical visual appearance (based on perceptual hash)