Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FD264726150BB3B03E3C2D9B661B71FA2D38249DA82190693FD875D0FE7E40DE23656 |
|
CONTENT
ssdeep
|
768:PeaL5kF0PO3rrrQ/Gvd7sOy2+y9BH4crIe:v5res/Gvd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412e939b8e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c0cccc8d00 |
|
VISUAL
wHash
|
04fc3038040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880900458988000,9cec48c0c8cccc0c |
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)