Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4111E20402CCC274682D6F9FBFAA92B1A85CB1983121E01DBFCC35C59EE90DCDA9618 |
|
CONTENT
ssdeep
|
12:hRwswtth2NUaMsChaU2YvhV6E2iUmdkHKAu8pPFvX4XEJD+oJDhCPEJ9gXCCBga:hRfmt0kha65BJYZuWFIXENJNhrv4Bga |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
836609d9fe6603d9 |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0d0ccccccd8d0d0 |
|
VISUAL
wHash
|
3c3c3c2424243c3c |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
8080989888908080,f3c2b4b2b6b4c2f2,00200e71710e2000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.