Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180F1D6A110204A7F144786B4F045BF16B14EF35CDF5BB86DA16CC27A2AEBDA8C9CE550 |
|
CONTENT
ssdeep
|
192:tE5AMAvA3AgAnAyZuXJ3h3uSBrrglUQiNJQRb+Qra9lAnlAt3LsrNY:uKzoQHA8uZx+SBEENMb5+tAry |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc86b399b3339989 |
|
VISUAL
aHash
|
3f101800181800fc |
|
VISUAL
dHash
|
f724322432321400 |
|
VISUAL
wHash
|
7f1818181818d8fe |
|
VISUAL
colorHash
|
38001000030 |
|
VISUAL
cropResistant
|
f724322432321400 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.