Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E331F319218AD3FA457C2D1E7B5773B22E49382D64B025C96F843B84BD6D88FC2B5D8 |
|
CONTENT
ssdeep
|
384:bIUzlsGuOoXs3L4+J3JKX8O0GqcDhaHt1bFgAgj+pgQxj8DcpXY/IHFH9n:bqA3OaVgjWgeJtEIlN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83553cc563a75caa |
|
VISUAL
aHash
|
000c0c6c7c3c7f0d |
|
VISUAL
dHash
|
c858b8c8c8e8cb19 |
|
VISUAL
wHash
|
200c0e6e7c7e7f0d |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
c858b8c8c8e8cb19 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.