Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A7209F20500E9BA46478AF9EBE1FB58216FD14DDA1B0000A7FE87E513C7DE2E919159 |
|
CONTENT
ssdeep
|
192:NWU+7WfV9PDJ7tn6WXk9OMRMZYqhGeIqhkIqhLJ7t5j+v+CyJ6umDa8wzXDOleat:NWU+7WzPDqW8dCnQ0i39GyJWW8w/Olj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33c8dc7cc3330cc |
|
VISUAL
aHash
|
1f1f07c7cf072f0f |
|
VISUAL
dHash
|
febc9d88ac8acafc |
|
VISUAL
wHash
|
0f1f0707cf070f0f |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
febc9d88ac8acafc,50888a8a8a8a8a8a,45012b13960e4d6d |
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 1376 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)