Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100236C72A272B57843CF61DDF7382B06B2D3968AE9C742E0B5855ACD13C3C846593BB4 |
|
CONTENT
ssdeep
|
1536:adEq+EsZ/8byzQQFDawVM/BEw+M/BY7UXx+y9dQyDF1ZAU84HaXt:a0Gnw9wo7UXxpDzHyt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbd0eccd919284e4 |
|
VISUAL
aHash
|
ff81858d81818181 |
|
VISUAL
dHash
|
23414d49494d0109 |
|
VISUAL
wHash
|
ff81e5ed81e98181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
23414d49494d0109,1fdfcfade6e6d0e0,23828c89c8ca21a8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.