Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A337C73A72679B843CB41EEFB3C2A56F3C14888E99B8154B9D8568D13C3CC16257BB4 |
|
CONTENT
ssdeep
|
1536:aB+EsZ/8T+CDawXMDBEwRMDBzwh82+/9dtyDieMvdhf/q42Yw+:aOJtwDwqA820D0jMPF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3b4b6ac2d29031 |
|
VISUAL
aHash
|
81838fa783bf8fbf |
|
VISUAL
dHash
|
4b5b7c4d23636d6d |
|
VISUAL
wHash
|
81830f87819f87bf |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4b5b7c4d23636d6d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.