Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198334C726721B8A983DB51EEEB382D59B2C5549DF8CB8400F5C95ACD23C7CD02297BB4 |
|
CONTENT
ssdeep
|
1536:a7+EsZ/8xu2aDVRRMjBIR0MjBZDrpRXPZlQaQD9OehM+BrUgq4z:aENRjRfDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6895b6669530c7 |
|
VISUAL
aHash
|
c1c1c1c1c1c1ffff |
|
VISUAL
dHash
|
1b030303231d0527 |
|
VISUAL
wHash
|
c0c1c1c1c0c1ffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
1b030303231d0527,7272dbddd9599897,55515858992aeeee,742bab8c2322de2e,cc80968680cc33b2,3bc181a5e585997f |
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.