Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161F1EF303006387B522B5AC1F872471D2253C325D7521A6CB7B917A6BFCDCE98DB27A4 |
|
CONTENT
ssdeep
|
192:UqnZbogSRu0wO3s0LNlDoGHzDhFIvErEFZ5LfiQLfcLbLfNLVLfdLqgLfKL4Mcfi:3nOu0wO3s0LNtogzDiFZ5LfiQLfcLbLA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cc4cb1b11bcc |
|
VISUAL
aHash
|
ffe7e7c30000ffff |
|
VISUAL
dHash
|
10480e8e714d0000 |
|
VISUAL
wHash
|
00000400ff00ffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
10480e8e714d0000,0000101010100000 |
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 258 techniques to evade detection by security scanners and make reverse engineering more difficult.