Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102E2957160052B3F01ABC3C9B761B729B2E3D28DDA45180542FD835D4FEBE51EA2366A |
|
CONTENT
ssdeep
|
768:s0y5Nnw+fx7hQFGQ8GplAH5pQEJ7sOy2+y9BH4c1Ie:gwSwGT77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c7ed926975b2 |
|
VISUAL
aHash
|
3e1c06cfdfc3f3fe |
|
VISUAL
dHash
|
e0f4b43c3c0307b0 |
|
VISUAL
wHash
|
3c1c008ecfc1e3fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e0f4b43c3c0307b0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)