Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E4361727050667B029B58E9A5613B2E71E3F31ED562C904BFF893844BE3EF0BC451A9 |
|
CONTENT
ssdeep
|
1536:NTK5UZxqKOueqSRtFTEkKtOxR+XLgYWS2:K0ejVEkKMxRpr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eb8599274d72525 |
|
VISUAL
aHash
|
18bd38141c3c3c00 |
|
VISUAL
dHash
|
b03172ace4716130 |
|
VISUAL
wHash
|
18ff3f3c3c3c3c00 |
|
VISUAL
colorHash
|
080010001c0 |
|
VISUAL
cropResistant
|
da99a2327636b6e8,96b6c6c6c2a8a800,7c4d9b5c4c1e9d9d,f0cccd9e9ccdced4,d4969684d4cc8ed4,d096169c8c4c8cd4,b03172ace4716130 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)