Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF93093AA5C82567448712E7FBA0AF47E17CD0CDE2468208D2E9C36E06C5CE9F73B595 |
|
CONTENT
ssdeep
|
1536:3IUcosgfnketdvC+4SCX5HMlqsYWCjHpk2u/xQQ5WID9KlnW8z9eZYUxL8rgOkTX:379/kroTQCND06YUxfT1J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
804b5c6e673acb66 |
|
VISUAL
aHash
|
007f7f7f637f477f |
|
VISUAL
dHash
|
e1ced1ceced494a6 |
|
VISUAL
wHash
|
00677f6f635f0740 |
|
VISUAL
colorHash
|
0e000000006 |
|
VISUAL
cropResistant
|
0649b14949b94906,1890301e8e282c2a,e1ced1ceced494a6,20106c3232080400 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)