Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F235B726322B8B843DB91EEF7383D56B2D58899F8C74414B5C95ACD13C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8d45Daw6MYBvpw1MYBvUwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:aC+EsZ/8W5Daw6MYBvpw1MYBvUw0N2/S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8383cc3c3c3c7c3 |
|
VISUAL
aHash
|
838183ffffffffff |
|
VISUAL
dHash
|
3f373f151f060000 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3f373f151f060000,ffdfebfbdcf2fbff |
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.