Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C235BB26322B47883CB91EEE7382D56B2D5589DF8C74414F5C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aG+EsZx8/G8P4HDawcMIB1w/lMIBLwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aG+EsZ/8QHDawcMIB1w9MIBLwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac2c2c3cb9a58 |
|
VISUAL
aHash
|
fd83879f9f97ffff |
|
VISUAL
dHash
|
4937356135354343 |
|
VISUAL
wHash
|
ad8181818795f1ff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4937356135354343 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.