Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184910073E084693B028393E1E3757B6F73914385CD130A0692F9935E8FDAF95DE02559 |
|
CONTENT
ssdeep
|
48:bTMiTNmTNMPkc7xtIG4PGHSagt40SJSJS1NJ/J0KgcfrB1ozdhBrSEBhQcIBdJ/4:AKxtYagtjSJSJS1DZdfa7QcypICd0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf9eb063b46198c6 |
|
VISUAL
aHash
|
403c3c383c20203c |
|
VISUAL
dHash
|
9c71717060484eb2 |
|
VISUAL
wHash
|
7e3c3c3c3c2020ff |
|
VISUAL
colorHash
|
380010002c0 |
|
VISUAL
cropResistant
|
9c71717060484eb2 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.