Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19454BD234159792A4437C7D034799B7AD1A6DE8BFAA70A010EECC7F63AF9C50741B22D |
|
CONTENT
ssdeep
|
1536:d7j31RRhFyVjvL7rNXCuaEKq/qrEMqN1RLUUgQmTa3MZo+Hd1+40jxaxWG84wusN:POQojVhfQwfP2kBoHol14Y4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852c29e166eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
61969096d7d49094,2929dcfdcbe97352,2023726525c8da1a,38789d9c8c8c8d8f,a66564baa2535345,82a48a8e969ae482,8c003a3727300e0e,88c8e9d1802a3394 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)