Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14491ECB3D2DDD0322721C5C4FA72AB2AC68700CEDE952947DAB1059F25DCEA5C803F4A |
|
CONTENT
ssdeep
|
48:epDsFnkPnlCclWYdmEeiqG3+VjhorwxCs2Y+TqPDtVQ281w8IZB5DQC1QDkKsQ/F:sllWmOCGwk3DQC5jm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c38ab8e1673c29c7 |
|
VISUAL
aHash
|
7d3c3c203c3c1c3c |
|
VISUAL
dHash
|
4179e8c8c8d8f0d8 |
|
VISUAL
wHash
|
7c3c3c3c3c3c1c3c |
|
VISUAL
colorHash
|
38e00008000 |
|
VISUAL
cropResistant
|
93290b5b0f2337a5,4179e8c8c8d8f0d8 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)