Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15463C676549470BE027686CCC29A790DD799E11BCFC24F81A3F845BDDB81DB0E932B4A |
|
CONTENT
ssdeep
|
1536:B1QIYWZjgnnzIcVYC1f9PQiiFfwn3443H:B1QIYWtqzIcVf1f9PQiqfwn3443H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b27c6bc35cd4c2 |
|
VISUAL
aHash
|
00277f2f6f0f0000 |
|
VISUAL
dHash
|
cccdaad9d9d960c4 |
|
VISUAL
wHash
|
242f7f2f7f2f0020 |
|
VISUAL
colorHash
|
10200010040 |
|
VISUAL
cropResistant
|
e6959468a3d58fb7,4d4db3aa4a530c2c,cccdaad9d9d960c4,8c4a496d4c9c9057 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)