Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D2B831A0007A3B41D786D9B3A2A32FA2B7528AEB47050542FC87AD4FE3DD4DE73516 |
|
CONTENT
ssdeep
|
768:kSby5NE1lbxHk4enFc7sOy2+y9BH4crIe:jbx+S7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9361fc32ed1c91e1 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce0d8cc3c00 |
|
VISUAL
wHash
|
40fe6400600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255754d4d555556,1080800458988000,9cccccc8e8c9cc3c |
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.