Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19603637520554C2A11178AC4B48073EF6EC6D299FAAB4D10F6A307E5DBEDE9339284FC |
|
CONTENT
ssdeep
|
384:wDpEJq5uj4N56OAmfGlgpmsHV/5a5mZwnJzy7HhTg+MuFd/2ZzA:wDpEJiuj4D6RqPCnZylZMQiA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc317766383333 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
30b2b2b02030b230 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
31600050000 |
|
VISUAL
cropResistant
|
0600918dddd99194,30b2b2b02030b230 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.