Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19862EDB19040847F0583D2D16B355B1FA7E29388CB231B09ABF9435E6FCFC59CE5A668 |
|
CONTENT
ssdeep
|
384:P1IIIe3P8nHWSXCowFeUaeKRDIux3yx31x3OTP:P1IIIe3EnHWhPeXeKRMy3W3L3OTP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d92926d6d22c5 |
|
VISUAL
aHash
|
fffff1c1f1d7ffff |
|
VISUAL
dHash
|
a3c82723272f2c02 |
|
VISUAL
wHash
|
4070f080d187f7ff |
|
VISUAL
colorHash
|
07218010000 |
|
VISUAL
cropResistant
|
a3c82723272f2c02,206883832a221602 |
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.