Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196225216E64D7B0D72AA82B4FE31CBDBA31402D5D2090FD47B6582BFB84C7A449365CD |
|
CONTENT
ssdeep
|
192:Mg49HNg1tJvVs0aTBq0+dmHcG0NsSJTM5pCiDA3u3p/2NSo:MgSHqjJvVs0oBq9juZk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc396cc7c3928792 |
|
VISUAL
aHash
|
8381c3ffffffffc7 |
|
VISUAL
dHash
|
17333f0e1f270d2f |
|
VISUAL
wHash
|
818181c3cfc3ffc3 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
17333f0e1f270d2f,46e43619b7b2b3b3,765d4a3d35d9b2b3,ffc6bc33f0d0f7ef |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.