Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDE2C73171107A3B029792DEB3A2F75AA3E34245E7460406A2FD83BD0BE3D55DB37626 |
|
CONTENT
ssdeep
|
768:BSky5NU2wqGSEfnYn4xW7sOy2+y9BH4c1Ie:gbgl07sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed0ec3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccc8c2caccec00 |
|
VISUAL
wHash
|
0064fc706024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cc8cac2c8ccec |
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)