Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFF17457E316123C0B1205E5BD09629F4288604CF3BACEC2BDCAE5383691B976177DDA |
|
CONTENT
ssdeep
|
192:i/P9wZs+tO2nkeEH30ZVTPgyx7eCceadON1r:in9wZs+tO2nL5eCVaUr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a92bf43728d2d02f |
|
VISUAL
aHash
|
0101010101ffffff |
|
VISUAL
dHash
|
bb939b9b3b3b7e9a |
|
VISUAL
wHash
|
0101017901ffffdf |
|
VISUAL
colorHash
|
030020001c0 |
|
VISUAL
cropResistant
|
bb939b9b3b3b7e9a,7a8292cdcd929259,9e88bac9c8d49bbc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)