Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE4B550E2925C33202F81D6E4A86B1561C2F79BD7410BC2F6F447B45BFBC69B82F689 |
|
CONTENT
ssdeep
|
6144:CUfCYWRwFWy4RyjHFNfzZ6BxCo62HWqnSMlcryHYUwhLDoiega0AbTu0ljUIYAea:COdhAvlYrHrDcfGhDvlTOAtKTIKr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb1f4642431f1a1f |
|
VISUAL
aHash
|
00e79fffeffdffe7 |
|
VISUAL
dHash
|
c00f395919191f4f |
|
VISUAL
wHash
|
00818f8dedede5e1 |
|
VISUAL
colorHash
|
07007008000 |
|
VISUAL
cropResistant
|
8282c2d2d2828282,873b395919190f0f,c0c8e8c8c016a622 |
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 2663 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)