Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126320B70545DEA7B51A3A0F0E37A5B1B36D0830ECA934A0593FC8FA92FD9D4AED47020 |
|
CONTENT
ssdeep
|
192:DkhPynjIPIQP8s+gV2PImxXYuUkgYHU2Y3UQe9SSDpaXs:DkhPBZV2hxvYSDpac |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc336633dc9931 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
38383c3c18183838 |
|
VISUAL
colorHash
|
30400600000 |
|
VISUAL
cropResistant
|
8bccb4b4a4a4cdcc,8000007afadafafa,b2b2b2b2b2b2b2b2 |
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 1520 techniques to evade detection by security scanners and make reverse engineering more difficult.