Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14182ECB1F1843A3B02579CD6742FA3EAB1C3925FCEA3651066FD07DA0FEADA09605507 |
|
CONTENT
ssdeep
|
384:LjXAC+MItko+x+gmp9CioYgz5KoDsokZtsdqjR:LjXA3p9/Zgz5KlXfs4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8eaaa8ac28b3b3b3 |
|
VISUAL
aHash
|
99383c3c383c3c3c |
|
VISUAL
dHash
|
7362696860686868 |
|
VISUAL
wHash
|
bd383c3c383c3c3c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
7362696860686868 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.