Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC04D5506790E85803B78FB7B32FB5DAF41E096F3C900D6BD290FD6421D192AEAE5631 |
|
CONTENT
ssdeep
|
3072:IvpKl6Yfmv7RnN0JuxqmIL6csYMxoYaTB0:IxKJf8qrGctMxo1TB0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8632b9c93acf32e2 |
|
VISUAL
aHash
|
7e3e3e3e3e3c3c3c |
|
VISUAL
dHash
|
c8ccecece4e0e0cc |
|
VISUAL
wHash
|
3c3e36343c3c3c3c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
c8ccecece4e0e0cc |
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 40180 techniques to evade detection by security scanners and make reverse engineering more difficult.