Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7A245318092573352A3B5E0B73A270AA6D28701CF77460957FC975DAFCAC59EE1BC21 |
|
CONTENT
ssdeep
|
384:qIlMd2mhAafeeekeeetJeeeQeeefeeeueeepeeefeeeQeeeneeeSBTpplzK/LRkM:qIlMddaMeeekeeezeeeQeeefeeeueeek |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8bc946bc769d24a |
|
VISUAL
aHash
|
979f9f03284840fe |
|
VISUAL
dHash
|
363636aadbdb93c0 |
|
VISUAL
wHash
|
979f9f03286840fe |
|
VISUAL
colorHash
|
06642000000 |
|
VISUAL
cropResistant
|
c0c0c0e0e0b8b8ae,98b8b832a6ce8ea4,9591999991f09994,edecccc9c9c1d0c0,80808000c0c0e060,363636aadbdb93c0,e9c9c9c9f1d3d9d9 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.