Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB53757192817E3B118343D5CB64E37BA3C2D649DB924997EAECC31B62C7DB4EC26124 |
|
CONTENT
ssdeep
|
1536:U0nstNXId5Y26VQ68c6Qy6h/6huGuxm/r80drwmc3iL8:bsTYd+26VQ68c6Qy6h/6hj58 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ec2c3e9e89269 |
|
VISUAL
aHash
|
ff1e8e9b8bff9f8f |
|
VISUAL
dHash
|
493c3c33133a3532 |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
493c3c33133a3532 |
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)