Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1C29672B1507A3711E782CAB7A1E31FE2D3920EDA8B050553FD83AD47E7D94DA23129 |
|
CONTENT
ssdeep
|
768:jSkZAnqbo0euOaR32x17sOy2+y9BH4cLIe:YqwV7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd2dc54693ba |
|
VISUAL
aHash
|
000000300000ffff |
|
VISUAL
dHash
|
c4d8c8c4c0c0ec00 |
|
VISUAL
wHash
|
00006c747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,c4d6c8c8e4c0c0ec |
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.