Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19892B5329160AE3341A79ADAB3D89B1B12D6C249CE460245D3EDC3FE07FBC95FA15941 |
|
CONTENT
ssdeep
|
384:1sux978DEkgZlXd1dFlmrQX2mcIIIRQIxzh0Q:Hx9gEkgCQX2mcIIIvhf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73c743c3c123c |
|
VISUAL
aHash
|
00727c7070702000 |
|
VISUAL
dHash
|
cccac8cac2ccce1d |
|
VISUAL
wHash
|
067f7f7f78706000 |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
6c4d4776f85f5f3a,cccac8cac2ccce1d |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.