Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D412F0E0C415ED37435396D8A7B66F1B77D1C389CF02094493F8836F9BCACA0DA21599 |
|
CONTENT
ssdeep
|
96:TkfJP1DtSTBEWhUSPRr8v67hvHSFwwGhlpSXBCYrGhlxKXcCYrGhlTKXeCYj/Jiy:QfF1DcVB8iJeLGwCyGdCyG5CKDU7Dm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4e6cb99306664cd |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
8660869696966812 |
|
VISUAL
wHash
|
ffffc3c3c3c30000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
8660869696966812,82a2a2a2a2a2a282,82a2a2a2a2a2a282,82a2a2a2a2a2a245,88883668686870b2 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.