Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13ED381D55618038CA047C97DEF2FFE05131FB1AABA558A80299EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:kz0RQ7Ho70+ZVmxXB2kgc1ztsfxah1ohHwIlFsR8MLqcjXFsR8MLqcex0:G0RQ7Hm0WVmxXAkgc1zts5aMW5Kp |
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)