Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DE2A67162446A3B02E783D9B361B32FA2E3C289EF47062553FD835C0BE6E41DE67516 |
|
CONTENT
ssdeep
|
768:teaJ+OCNneYBSjMK+a7sOy2+y9BH4crIe:P+Ne1oKV7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd38b8ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dccc48c8cccc0d00 |
|
VISUAL
wHash
|
0cfc00380c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880880458988000,9ccc48d8c8cccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)