Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BA5AE22D3622406E27A99C8F5A78B903346176AD6460F79B7ED877BFCCD43134A02DD |
|
CONTENT
ssdeep
|
6144:6HKZvn3ITComSLPqTI1twH0ApJdO0PjFLq5imGynvlY8b267NHsXjgp3rAh6asaV:6Hm3IaYwH0ApJdfrqiz0CnMzq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9939237938cbd931 |
|
VISUAL
aHash
|
c3c3dbdbdbdabde7 |
|
VISUAL
dHash
|
9296b2b2b2b22a2a |
|
VISUAL
wHash
|
03031b1bdbdac2c3 |
|
VISUAL
colorHash
|
06200018000 |
|
VISUAL
cropResistant
|
22b486b2aeabaaaa,9296b2b2b2b22a2a |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)