Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147D393D55618038CA14BD9BCFF2FFE05131FB1AABA558680294EC26896CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:M9qX0RQ7Hc72fCnahOYQjPDlFsR8MLqcv5FsR8MLqcMv:0qX0RQ7HaRaEz8Mm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b96f84c696863993 |
|
VISUAL
aHash
|
ff8181818181ffff |
|
VISUAL
dHash
|
072b3b2b2b2b1f9c |
|
VISUAL
wHash
|
c78181818181ffff |
|
VISUAL
colorHash
|
16001000180 |
|
VISUAL
cropResistant
|
072b3b2b2b2b1f9c,07e8d8c8e9e9d8c8 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.