Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED3863152451D3DA5178BE8F6B1F73DA16AC388DA2B869DF6BC0271178AC89DC336C4 |
|
CONTENT
ssdeep
|
768:mN6iGfy49OY5cfzEW+hmnvmoesmLcmCrmzymTf+gWGQcJb2JJwMS4IJHsgx9V6TC:mYqfj+XN+FG952JJYNj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4e1143e3c3eb6c6 |
|
VISUAL
aHash
|
c270f0e34010171f |
|
VISUAL
dHash
|
84c7c68ec4646e72 |
|
VISUAL
wHash
|
e2f0f0e36412371f |
|
VISUAL
colorHash
|
38000200218 |
|
VISUAL
cropResistant
|
84c7c68ec4646e72 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.