Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF136396210866E5C1F38FD8981066906242EB5BC9718770C2FC4E3A6BE35B47789F7F |
|
CONTENT
ssdeep
|
768:GOJiGAaKp0dGXalpxB/g69hkVNhxhs4jY7yUjJoHzG9v:GOCgxTQhTM7RV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
add2a5d2d2add2a0 |
|
VISUAL
aHash
|
ff087f1800030303 |
|
VISUAL
dHash
|
b379faf234761676 |
|
VISUAL
wHash
|
ffff7f1a00030303 |
|
VISUAL
colorHash
|
1ee00000080 |
|
VISUAL
cropResistant
|
06060c8e1e020608,94c4ca8a84d5aaaa,3399faf234761676 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.