Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB92A931C961E837923745D5B6346B0EB291D29BC7930A15A3F8966F6BCBCC0DC128BC |
|
CONTENT
ssdeep
|
384:Nr2m4O6sWSRMqTpkbcqRAij6W/RwNKEdB8qLGqOoWca/g/0VsB7DgDrgvmn2JO:Nr2m4O6sWQMqGcj82GqOoWcIg/+sBXgr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccc643333 |
|
VISUAL
aHash
|
c3f7c7c3ffffe3ff |
|
VISUAL
dHash
|
96069e9e1830048a |
|
VISUAL
wHash
|
c3c3c3c3cfdfc200 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
96069e9e1830048a |
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 383 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)