Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182146594B2D29C31311F81E2A4A467090192FBBBCB811FC767B146B5EBF58BD384D29D |
|
CONTENT
ssdeep
|
3072:IR1SI40xOkFELz1K7fu/oUbxr0G0IO7nLhcJKE0+KZOWznCqqC7/jSeOC37VWBI8:Is4O9ChGj6qCFcc+f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a660195977765d19 |
|
VISUAL
aHash
|
007fffe7e7ffffff |
|
VISUAL
dHash
|
04f0884d4c00acf0 |
|
VISUAL
wHash
|
0000ffc3c3ff073e |
|
VISUAL
colorHash
|
06007008000 |
|
VISUAL
cropResistant
|
8000c082a2800080,ec804d4c1c40a8e0,4145808280c02120,012d42c2cad9593d |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)