Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD382D55618038CA147C97DEF2FFE05131FB1AABA558A80298EC268D6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:x7Ip0RQ7H67C+ZVmxXBZkgc1ztsgpahAoemPNblFsR8MLqc/XFsR8MLqceD0:VIp0RQ7HYCWVmxX3kgc1ztsGaRdN0WT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8d5828588f4f2d6 |
|
VISUAL
aHash
|
ff00c0c098800101 |
|
VISUAL
dHash
|
ea020713330f3737 |
|
VISUAL
wHash
|
ffebc0c0d9c38303 |
|
VISUAL
colorHash
|
38038000080 |
|
VISUAL
cropResistant
|
0000000000000000,e20b0733330f3737 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)