Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198235A726322B8A843DB91EEF7382D56B2D2588DF8CB4414F5C95ACD13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8H4nDawTMSB0wsMSBdqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:al+EsZ/8YnDawTMSB0wsMSBQN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf9595c0e5c095c5 |
|
VISUAL
aHash
|
8d81818181818181 |
|
VISUAL
dHash
|
7571717561555545 |
|
VISUAL
wHash
|
ff9999819981bd81 |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
7571717561555545,b371f3e861b4d480 |
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.