Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1066381734140BD7F144342C4AB1DD35A93C7D209CFE25946E6E883AEBADBDA4CE361A4 |
|
CONTENT
ssdeep
|
768:brH7LZVLn3lS/TC1b/TV0+FlTzZBFueAH7LZVLn3lS/TC1b/TV0+FlTzZBFuedN3:fmb04fKD0cD/ceA078 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eccc9293d5c73096 |
|
VISUAL
aHash
|
ffd191f1f9c1f181 |
|
VISUAL
dHash
|
c83333233317673b |
|
VISUAL
wHash
|
fe9191f1f981b181 |
|
VISUAL
colorHash
|
0700b000080 |
|
VISUAL
cropResistant
|
c83333233317673b,cccc9a9eaaa6a68e,1e5b2ce466475907 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)