Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11541127080104D6781D3C5E4B7B6A3167781C294CF5316064BF9C79E2BE7E86DE0A2B5 |
|
CONTENT
ssdeep
|
48:TXYAShRCbhOGO/tKAQHx1tCg1tqbmQ72ja0hKG:ToASaIaQ721l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f373d8d84c446666 |
|
VISUAL
aHash
|
00efe7e7e7ffffff |
|
VISUAL
dHash
|
8c164d144c080000 |
|
VISUAL
wHash
|
00cbc3c303270f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c164d144c080000 |
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)