Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C235B726722B8A883DB81DEFB383D56B2D2988DF8C74450B5C95ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aX+EsZx8/G8IRF4yDawcMSBpw9MSBUwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:aX+EsZ/8COyDawcMSBpw9MSBUw0N2/y5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fd0c02ba5844e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d59615f49000200 |
|
VISUAL
wHash
|
8181010181ffffff |
|
VISUAL
colorHash
|
16006000400 |
|
VISUAL
cropResistant
|
4d59615f49000200,6bdcd869e955c5c4 |
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.