Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180811FB1A029A93B8257C1D076EB2F1B33D5818ED6861604CBFCD3AC1FEBD58EC09490 |
|
CONTENT
ssdeep
|
96:ThadeoSJSJSJSfVXymd/cSJSJSJSf5GXF08USJSJSJSfPKh1:kdeh4444qV444REt444W1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c587269239c779d8 |
|
VISUAL
aHash
|
3f7f7c7c7c7c3000 |
|
VISUAL
dHash
|
ece4f0f0f0c0e0f0 |
|
VISUAL
wHash
|
3f7f7c787c383000 |
|
VISUAL
colorHash
|
1a007000000 |
|
VISUAL
cropResistant
|
ece4f0f0f0c0e0f0 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.