Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B73537112426A3F108382E99714D36AF7C6D20AC7678AC697EC832B77C7DE1EC35568 |
|
CONTENT
ssdeep
|
1536:Q+6dlc1Dc710b4P/O86yM0cOGkd7Jp0PxVuz8Id:niXk47Q6d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e05086be366cbe96 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ccb83131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,333166461126a8a9,b5a66295b1194b4b,38789d9c8c8c8d8f,8512382727000f0c,848fcbc38b23338f |
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)