Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169E27360E010CD3B018392D4F3F3E76A51A9E281DE0206B593FD476E8BE6D9CEE5B255 |
|
CONTENT
ssdeep
|
384:k9x8aCx6/xqnfWEI9sw39s0+2aXi7VskW1vewlXXdNcEgqohzQ:+iaCx6ZqneE5wNs092i6j2zEpoh0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc7ac7a3552e1438 |
|
VISUAL
aHash
|
7cfc9c979f97fffe |
|
VISUAL
dHash
|
8c893534393d4322 |
|
VISUAL
wHash
|
64dc84848785dbfe |
|
VISUAL
colorHash
|
07001030001 |
|
VISUAL
cropResistant
|
8c893534393d4322 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.