Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113E2B3319049693F0AA773D1E7A1E35BA2C183CDE943476A42FDC34D0BDAD90ED1B9A4 |
|
CONTENT
ssdeep
|
384:YfVfIIViaIIIII9ilBVcmzA1/lmmY2t5Et2esHw7IfbpW:+fIIBIIIIIu81/oD2t5Et24 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e1e7eb7f3c1818 |
|
VISUAL
dHash
|
87c7cfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,0002e4ccc4400000,87c7cfdbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)