Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156E164E1C444CD37072286D5F7F52B5FB992C359CB06098493F842EB9BCBC70CA16A99 |
|
CONTENT
ssdeep
|
96:TkN7moh4lzH0XfeG9Edt7V4wvFVetXNHFneRXsz/JVt7WqQPJ:QN7moh4lzH0X19Edn67MGzz0qQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc646d55124c4777 |
|
VISUAL
aHash
|
00c3f7ffffff81c3 |
|
VISUAL
dHash
|
162b2b330c2b2b2b |
|
VISUAL
wHash
|
008181ffffdf8191 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
172b2b320c2b2b2b,aa808a8c8c8a8096,a280a08c8c808088,0000020414040000,0180a28086968686,b2a280b2ccacaaae |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.