Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AE2823620045A7F129792DBF771BB4EE2CAD249C6531AA663F4830D07D7ED0CE719A2 |
|
CONTENT
ssdeep
|
384:4+WXHTzUBWr+IGv5iPR8aZC/7LQ+d5v3AUyjsmD7MDo/dnpO2l0/q:NWXzzH+Ic5o88s7pP3pyr/dnrWq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c346bc4bc39666a3 |
|
VISUAL
aHash
|
0000203c2c20ffff |
|
VISUAL
dHash
|
4071c4ccc9c82e2a |
|
VISUAL
wHash
|
2000247e7c30ffff |
|
VISUAL
colorHash
|
1a2000080c0 |
|
VISUAL
cropResistant
|
b2e2f2caee9a9a61,bf9eb6f1f2c6c4c8,4006162aaaaa2a2a,4860f1ccccc9c8c8 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.