Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A51205060248F2F168744C835666B2F31CA968DFB5319C9B2FAA3FE1AD1C54CD726D1 |
|
CONTENT
ssdeep
|
48:T7YW7pLFH/vmeqPyZ0WQ4HDxNkUCpFH7VzCOvCB4pFSaGy28ABwf:TngY0WJHDxN5CpFH74zYSaGZ8f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99a266e666996699 |
|
VISUAL
aHash
|
fd18181818181800 |
|
VISUAL
dHash
|
2ab2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
ffffff1818181800 |
|
VISUAL
colorHash
|
1e000038000 |
|
VISUAL
cropResistant
|
96ba9bcc8e31b0aa,2ab2b2b2b2b2b2b2 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.