Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101C29835A1006A37929382D9B371B71F93E7434BDB81062562FE83AE1B93D54DE37C29 |
|
CONTENT
ssdeep
|
768:0QepZzPqOBk5QWqIuq/O27sOy2+y9BH4cLIe:GjIMq/O27sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9929b899 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
88ccc4c8cdcd8300 |
|
VISUAL
wHash
|
0c7430006c65ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,b8ccccc0c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.