Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15724126379163426113FC3DB606B173ED1C1DB8BFA930B815AF8C3BA1AF9C90B656158 |
|
CONTENT
ssdeep
|
1536:qwgMUZRTksPEGIhIEBa4QjockvIBJhrcDiFE99LeLVRObLL5P7OG77OGW7OG/7O7:qXbj7KmRcDf/JfJYJTJrEc2YI8dO3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63939c638b9c726 |
|
VISUAL
aHash
|
2000706c74707000 |
|
VISUAL
dHash
|
cce4c0d9c4c4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4cccceb28ef87e,800080e060800080,800080d0d0800080,800080c0c0800080,a0808c8c8ca08082,cce4c0d9c4c4c419 |
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 975 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)