Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140B21031592A24B3013785CABA986F09A0D7E34DC7271F413AF852B7BFC6D66B80165F |
|
CONTENT
ssdeep
|
384:5BnXHjw5j1KmjrxqsmXVtFIxqsSj3tQc71Byci:5BXHYJKmjrxqsqVtFIxqsSLxa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8d523d589f5229d |
|
VISUAL
aHash
|
ff8080bcbc808081 |
|
VISUAL
dHash
|
aa0f333333330733 |
|
VISUAL
wHash
|
ffc181bdbd818181 |
|
VISUAL
colorHash
|
33000000e00 |
|
VISUAL
cropResistant
|
11a0808080808080,aa0f333333330733 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.