Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3F31A74630C686A5597CBE2B0D46F68E2BECB5ADA178D58F32CC15213CEC45EE63780 |
|
CONTENT
ssdeep
|
3072:9gskSmbZMPwqqcsAMVVJLFAqhA5bkgDNEGfkvSdRGhTTkc9iZZBiZV9zOOyhsAym:KskSmbZMoqqcsAMVVJLFAqhA5bkgDNEw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86b4c96db196b4c3 |
|
VISUAL
aHash
|
c2a076276300383c |
|
VISUAL
dHash
|
164ccccccf03e8e9 |
|
VISUAL
wHash
|
faf077276700383c |
|
VISUAL
colorHash
|
38000000c80 |
|
VISUAL
cropResistant
|
164ccccccf03e8e9 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.