Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F92D97BD6C0152D029374A1FF127E9BD078422CC6B1D9A0DD6ED683A79087581B72EF |
|
CONTENT
ssdeep
|
384:h1k1D71ygQb9YCX/hUe+SI/YW0znxMPgcTeIH+3UOQtcxIxry1jZNhjgNtrOSfXj:h1k1D71ygQb9L/8hY1znxMl+kOwaIxrP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
802f6fc5c33139d3 |
|
VISUAL
aHash
|
0000087e7e7e7e7e |
|
VISUAL
dHash
|
c36031d4d4d4d4d4 |
|
VISUAL
wHash
|
0000187e7e7e7e7e |
|
VISUAL
colorHash
|
18000c00000 |
|
VISUAL
cropResistant
|
8040949494800041,c36031d4d4d4d4d4 |
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.