Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D374B2C0F29637019EB1D0E121E75A629BC347DFD20BF296F847A81ED6E58DE07059 |
|
CONTENT
ssdeep
|
1536:EjC6zwz1QJtDtvG7CwOS6p3O3f7M5AbPdjCNcD9GhSqSS7fBoedWv80lERQ7xYVX:5Q0OACLq80oMOAGgG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63669cdb1962639 |
|
VISUAL
aHash
|
0010143e3e3c3838 |
|
VISUAL
dHash
|
d4e1ac646464d0d0 |
|
VISUAL
wHash
|
0078363e3e3e3c7c |
|
VISUAL
colorHash
|
09006000000 |
|
VISUAL
cropResistant
|
71715b4e9696cc73,7171734e9496cc73,3e2a9a86cedcd0e8,91990e2c1918aec3,d4e1ac646464d0d0,0e4f866971713396 |
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 95 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)