Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7425223B500DD2A4EAB8ADCF2C4A549140DC346F6318CCAB2A481FFBBC4DF1659879D |
|
CONTENT
ssdeep
|
192:/1joQdeaSW677Tit+51McnthWeNWbZfMmUU8VCo+K:Deak7L58fMmUFCoN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699d92699996689 |
|
VISUAL
aHash
|
ffe7e7efe7e7fffe |
|
VISUAL
dHash
|
000c0c180c4d0004 |
|
VISUAL
wHash
|
fce0e0e0e0e0e0f4 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000c0c180c4d0004 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)