Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0F11EF1D540ED37031282C9E7BA2F5BB691C749CF07064193F883ABABDAD60CB12199 |
|
CONTENT
ssdeep
|
96:Tk2bzD71tDlt8v67M0ddtOlylCqXIHlyXKWXmE/fytq7ytx6fSdt7ihJ:Q2bzD715lt8iIOdkl/jESk7yraSdgn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc4139b4c6ce743 |
|
VISUAL
aHash
|
fffff7f7ffff0000 |
|
VISUAL
dHash
|
101626a6a61e1740 |
|
VISUAL
wHash
|
ffc7f3d3f3810000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
04102626a6061a17,0000243212100810,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.