Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AE2B4319018A83F0AA762D1E7B1B36A23C6438DD947072A42FDC74D4FEBC50ED1B499 |
|
CONTENT
ssdeep
|
768:XII96euBTIIIIIo7Lx3x0l3MaOwi86RGiKFsyn:XII9EIIIIIo7tx0l3Mra6GiKWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c3963c6 |
|
VISUAL
aHash
|
00e7efff7f381810 |
|
VISUAL
dHash
|
96cdcbd3e5f0f0e0 |
|
VISUAL
wHash
|
00e7ebff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000706169040000,96cdcbd3e5f0f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)