Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9416224D2018A2B418752E4FF306F55A3934382DB272D48D7F1867E6AA4D45C82E8E8 |
|
CONTENT
ssdeep
|
24:n/DYmxncW8nPQvReh2yvMlWsYkwSU3GyDCZtij2XXlfhll3mBRmOFl74Zo3ixPCn:nbYEncWmQvavM4k6GQMd+BQOFuZo0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea57f12bc2a303e8 |
|
VISUAL
aHash
|
e4c206341101c3c1 |
|
VISUAL
dHash
|
4c366c69214383a7 |
|
VISUAL
wHash
|
e4d2ee341101c3c3 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
aa80319e9e08808a,4c366c69214383a7 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)