Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F153427022421ABB91C787E7F3E15B69D1E9D799C963DE4AB3FD824527C6C428C83360 |
|
CONTENT
ssdeep
|
768:e9ZGLSe89/5eCyzRUzyzJqyzSIYswh/rUfg:Se8GCy9eyVqyVwyfg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3699739923cc761 |
|
VISUAL
aHash
|
002070246400007e |
|
VISUAL
dHash
|
9cc1c1c9c9d101d0 |
|
VISUAL
wHash
|
4e60fcfd7c60007e |
|
VISUAL
colorHash
|
38000030001 |
|
VISUAL
cropResistant
|
b29290b2b2a28692,9cc1c1c9c9d101d0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.