Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BC320BD92A22BF6024FA5E09062779636D3CB4FCE4A67B105FCC7EC3A84D558D07468 |
|
CONTENT
ssdeep
|
1536:e+l0kz5Gkufx4jygqLKf/hhcFR3QnfYkVvGuvpDl+gUb5wStDxWm3omNTBoIgOIt:gSf5Ai |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3d6463c3c3494d6 |
|
VISUAL
aHash
|
047c7e0008080000 |
|
VISUAL
dHash
|
9cc9c85b1b1b5858 |
|
VISUAL
wHash
|
447cffa989892d29 |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
9cc9c85b1b1b5858 |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.