Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162523033B600CD6A4D9B45CCF6C4AA89415DD306FB3188CA61A991FFB7C4CF46A943AD |
|
CONTENT
ssdeep
|
192:W0/3eleSuGuQ05EhCxtgx2i5McnthWeNWbEFF9lfMmUU8VCowfW:qeSN05Fi9F9lfMmUFCoGW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b38c48b723489d |
|
VISUAL
aHash
|
ffffffe7ff0000ff |
|
VISUAL
dHash
|
88081c4c08808100 |
|
VISUAL
wHash
|
ef27e7e7000000f2 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
8808085c0c4d0810,0000000000010000,0089899190c2c010 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)