Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBE2B7319119AD3F0697E2C5DB71B36AA2CA8349DD431B2983FCCB4D1BDBC50AD134A6 |
|
CONTENT
ssdeep
|
768:304ceLYb/ksehgbVM8E72qyET87IIeIIIII7CAxi3ihYTm:304ceLYb/ksehgbVM8E72qyET87IIeIj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37c1c1939e696 |
|
VISUAL
aHash
|
00e3e7eb3f3c1818 |
|
VISUAL
dHash
|
8fcfcfcbf5e4f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
a7e6e6c48c989819,0000e0c4c4540000,8fcfcfcbf5e4f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)