Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CD392D56618438CA057C9ACFF2FFE05131FB5AABA548680299EC26C95CF8D1F70752C |
|
CONTENT
ssdeep
|
1536:lc0RQ7HsIefNLDPuo35e2WYEFsR8MLqcoxFsR8MLqcMv:K0RQ7HvqDBx7m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3f249c253339919 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
090c0c0c08001010 |
|
VISUAL
wHash
|
e5c3c3c3f3f30000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0d080c140c080008,0000000810301000 |
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.
Pages with identical visual appearance (based on perceptual hash)