Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C73657612426E3F128386E1835CEB5DD7C6E60EC767494AE7E8831B27C7DA0DE350A4 |
|
CONTENT
ssdeep
|
1536:M1O6SbiDcCT0i4knWRjyQ0fNGqBjqb0HxVuz8lE:n8tcSj3/E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238486,84cbe993c8c8dcd4,4561417971690141,00454d7171414541,99d929a5ada92e08 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)