Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D1251E0D058ED374B1281D6B7F56B6B76B2C348CF02098453F853AA57CEDA1C7225AD |
|
CONTENT
ssdeep
|
96:TkvH7KZzQTf/RPRB88kLHk2VGP5wvFVeRXuHFBepXxHFUetXlp/JC6tDQZGAT431:QvH7KZzQTfnBjcbVGPf4CPdbp1hQv8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c7ca3f28cdc027e |
|
VISUAL
aHash
|
ff00000000e7ffff |
|
VISUAL
dHash
|
084cb2b2b2cc00c0 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
1b0010080c0 |
|
VISUAL
cropResistant
|
00000c0c0c140c0e,0000000000000000,0000000000000000,0000000000000000,000000008000c0d0,7069b2b2b2b2a418 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.