Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11543E16472D15A3E407BC4CAB229FB6211D5820CCBA74BA573BCD3BB3FCAC627612155 |
|
CONTENT
ssdeep
|
384:kid25uCpiEOj/C5FqNTqRna3IvIIVV75gJVoATRKud3:kiAkC8/UU4na3IvGVoAQup |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c0eb3b33c3cc1c |
|
VISUAL
aHash
|
ff7f7c7000006030 |
|
VISUAL
dHash
|
cd95e4c854c4c0c0 |
|
VISUAL
wHash
|
ffff7c6c24007030 |
|
VISUAL
colorHash
|
38003c00000 |
|
VISUAL
cropResistant
|
cd95e4c854c4c0c0 |
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 3885 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)