Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCE2CA3272107B3701A7D1CAB661672AB2F3035FEA850552A3FD43AC07E7D15DE2722A |
|
CONTENT
ssdeep
|
768:NesPGx335tEA7Fl5dDcrJuf97sOy2+y9BH4crIe:DTA7j5dDouf97sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d205b43cad34e5a7 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccccc8c8888c00 |
|
VISUAL
wHash
|
067c6c304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccccc0c8d8888c |
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)