Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6C2D83171106B37429382C9B76273AEA1F3924DDB850824D2FDC36D4BA7E98C97751B |
|
CONTENT
ssdeep
|
768:iny5N8krbRSSEtIKT2aklDOKTq7sOy2+y9BH4crIe:lr9SSaIOKTq7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3c06c1c2e |
|
VISUAL
aHash
|
fb8f818fcfcfc1fe |
|
VISUAL
dHash
|
6339373315373390 |
|
VISUAL
wHash
|
bb8f81898d8981fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
6339373315373390,9035391a5b6d0e6a |
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.