Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112915511B002F51B486322E9B3632BB4B0F45981DE340161C5BBD6A86B79C6FAD33DDD |
|
CONTENT
ssdeep
|
48:jhrQTNwAdxcWJvtQ8tdZcUwrxUzuXneOqVYRfyERyEM2oAfFJnutrwpl81:BMhvG8rZYrxUzuXeOvBVM2tHnu9ml81 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666999933999926 |
|
VISUAL
aHash
|
e7e7e7e7e7ffffff |
|
VISUAL
dHash
|
4d050d4d4d0c0c0c |
|
VISUAL
wHash
|
e0e0e0e027272727 |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
4d050d4d4d0c0c0c,2089332cc11c0c84,634b5b1c1828881f |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.