Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CC27532A140263B42D783C97361B72FD2E39249DB8A0D1652FC835D4FE6ED0DA6753A |
|
CONTENT
ssdeep
|
768:vSCy5NGo0hcm52YslwUPxp7sOy2+y9BH4crIe:S06XSaP7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b838fc28c6c4 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c0c0c0c9cd00 |
|
VISUAL
wHash
|
80bd7030300cffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080802058d08000,0e09c0e0c0c0c9cd |
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.