Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CA280D128495F2D934A4DC9550BFB16364AD2D0DF8E689866E262F72FF7C28040D2BB |
|
CONTENT
ssdeep
|
384:4elyCX3YTQqpIjWVuVctfLZu8cSrFLtLBRUW04BPn2FWuFp:4elyCXIXyjWYVcbu/SvXUW7B+tj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6d9a96689592619 |
|
VISUAL
aHash
|
fcfcc8fcf4e0c0d0 |
|
VISUAL
dHash
|
00101008680c1014 |
|
VISUAL
wHash
|
f8f8d8ecfce480c0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
00101008680c1014 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)