Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE24126379163422113FC3DB606B173ED1D1DB8FFA930A815AF8C3BA1AF9C90B656158 |
|
CONTENT
ssdeep
|
1536:16gMyZRTksPEGIhIEBa4Qjo47NyI1LC7Y9LeLVRnoF0NY7OG77OGW7OG/7OGQI2Z:1ZbjbMQPJfJYJTJr0HgFBYcdOB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63939c638b9c726 |
|
VISUAL
aHash
|
2000706c74707000 |
|
VISUAL
dHash
|
cc64c0d9c4e4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4cccceb28ef87e,800080e060800080,800080d0d0800080,800080c0c0800080,a0808c8c8ca08082,cc64c0d9c4e4c419 |
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 687 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)