Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D62DC795862B57B418BA1D24BB16B5EB7E283CBCFA3178223F5834C5BD6D81EC17006 |
|
CONTENT
ssdeep
|
192:tDAO8aRUwUQ9dwlbof9Ku21p2A5hZbID98MX+GJegTreu:tDAO8SHUQ9dwtofkr2A5rbID98iH+u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1b53e1ca7c1e01f |
|
VISUAL
aHash
|
0200787c7c783000 |
|
VISUAL
dHash
|
96e4c0c0c080c0c1 |
|
VISUAL
wHash
|
02707cfefe7c7800 |
|
VISUAL
colorHash
|
38000e00008 |
|
VISUAL
cropResistant
|
96e4c0c0c080c0c1 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.