Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114E2D5319048683F069773E1FB75A31B62A9838AEA434729C2FD874D0FEBC90DD165D8 |
|
CONTENT
ssdeep
|
384:wpII2k38IIIII9VlBMHA09bUciHelBcpX8c88YsDCsWXsOh5SlX4ea4HQ8pW:+IIeIIIIIj0FUciHencpsLsDLWXsdzap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3791c1c69c6c6 |
|
VISUAL
aHash
|
00e1f7fb7f3c1818 |
|
VISUAL
dHash
|
c7cfc9d3e5e9f070 |
|
VISUAL
wHash
|
00e1f7ff7f381808 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000c8d4c4000000,c7cfc9d3e5e9f070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.