Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C554DD234259392A4037C3E520A95B3BD1A6ED4BFAE70A414EDCC7F727FAC90741B259 |
|
CONTENT
ssdeep
|
1536:IBmGNkcMve9tMbXlOJi55R+Ovb0YOvM0VzxdoH8ArXvUd0gAK6Fyg0kBmYjKbKpr:l+Mw9YdOxdi9kNkBm6KWGI1xt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496f8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cccbccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effb1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc236286,848be9c3c8c8dcd4,4561417971690141,00454d7171414541 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)