Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1160384B2429D647F1253B289D8087E0DF5B784FEAF26D78612F905BF72E3610C635229 |
|
CONTENT
ssdeep
|
768:z0GkeekAN38D6jrdJKpLtr3ykZNJNNcMWWTAiedAeZxj:wNeekAN366HdcpLtrCkZNJNNcMWWTAiu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63ec9c336c43436 |
|
VISUAL
aHash
|
ffff87878787ffff |
|
VISUAL
dHash
|
43382d0d0d2c281c |
|
VISUAL
wHash
|
978f8383838387cf |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
43382d0d0d2c281c,720809c393832333 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.