Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180B1862FD25C533A0B6002E8358B12EDD759D4ACC272CBB258ACD86C33BB75599724D6 |
|
CONTENT
ssdeep
|
96:NntjBPhXC/zsLMtkcMwEK5OyPK9cezOqYMALNccOuibvME+yXJ:JlBP1CbEMtkci9zOqYM0NuUvSJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a764d81827eed8cc |
|
VISUAL
aHash
|
ff7fff0303ff7f7f |
|
VISUAL
dHash
|
76e6864e4eb0f4fc |
|
VISUAL
wHash
|
17173703030f3f1f |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
76e6864e4eb0f4fc,0c0e9b8e4e8aae54,9baeabdbdacbba38,1717adad9dbd7776 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)