Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB535F30D110A93B51E3D5C4A6319B8FB3C08286CA270B1A97F597ADEFCFDA1CE19255 |
|
CONTENT
ssdeep
|
1536:nspkuot06p1841VZq6xYbI4KxzxrAcHXXa2lU1F:n3npi8Zql |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d88bf283e88dcce2 |
|
VISUAL
aHash
|
ff001818000000d8 |
|
VISUAL
dHash
|
3191b03232b45c10 |
|
VISUAL
wHash
|
fffc181b1a0804fe |
|
VISUAL
colorHash
|
19003200080 |
|
VISUAL
cropResistant
|
1201616969910091,829e94f2d2f080da,9191323332b41c10 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)