Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C2A83170106A3B419B82C9B3B2A72BA2E3538AE796095582FD83BD4BF3D50DD37516 |
|
CONTENT
ssdeep
|
768:TSby5Nb2+5H5DnbgLRGe+G7sOy2+y9BH4cLIe:0+NNY77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12cd1c91e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce8c9cc3c00 |
|
VISUAL
wHash
|
40fe6200204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,94ccccc8e8c9cc3c |
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)