Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E90262E1C105DD2B472285C2FBF56B5B7A91C75ACB02498453F883ABDBCAC60CF1269C |
|
CONTENT
ssdeep
|
192:QS4hzQTfrgEwyIMvAJ6cgGfIMR7yIMgkIM4B0vQO:QSKANw/MvNcgzMR7/MgRMAg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b9a649393 |
|
VISUAL
aHash
|
fff3e3f3f3ffffff |
|
VISUAL
dHash
|
0026262626102600 |
|
VISUAL
wHash
|
ffd3c3c3d3e70000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0026262626102600,fcf0b3fce0f9fcff |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.