Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A83CD30D1500A2749C392C5EBF7676E5095E72ACE230C9EA7F4431BAF8BD98AF08575 |
|
CONTENT
ssdeep
|
1536:yj4SO9MMuiWXYv2YmfEAeYWT6qg+3OiGGnFwiqpBQZ+3tvSsjo:yBtcx831Ssk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c946363ef9c9c84 |
|
VISUAL
aHash
|
6c081e9e18000080 |
|
VISUAL
dHash
|
8898343210bcb061 |
|
VISUAL
wHash
|
ff5c9ebfde000081 |
|
VISUAL
colorHash
|
31007000001 |
|
VISUAL
cropResistant
|
4e5af9d5dd61e569,8898343210bcb061 |
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 152 techniques to evade detection by security scanners and make reverse engineering more difficult.