Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E94173318845C93B5683A6A49721EF2AB1D3C753CB0318A5B2F993ED9BD3D84CDD028C |
|
CONTENT
ssdeep
|
48:AHhHcpnifS6uM6hRx1fRYwiMucL+CDQyS:+aiS6uM6hIk+1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6dc997174c43199 |
|
VISUAL
aHash
|
ffffe7c3c3c3e7e7 |
|
VISUAL
dHash
|
8c140c4d0e0e4c0c |
|
VISUAL
wHash
|
42c7c3c3c3c3e3c3 |
|
VISUAL
colorHash
|
07600006000 |
|
VISUAL
cropResistant
|
8c140c4d0e0e4c0c,100c32b2b2320c10,0929696577b4da5a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)