Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C77340B1826218BF017B0AE6F166BB3820F7435FEA53D45993BC82566BCFC1CBC56944 |
|
CONTENT
ssdeep
|
1536:8ezKehe6eseUeCekeEe7eoeleReQeSeleqexevBemefe6ehe6eseUeCekeEe7eou:X2c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c63c3897c7c13c |
|
VISUAL
aHash
|
7200707c66610024 |
|
VISUAL
dHash
|
c633c5c9ccd723cc |
|
VISUAL
wHash
|
ff00747c7f61013c |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
c633c5c9ccd723cc |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.