Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AD2C87162107B374293D1DA7361672E62E3034FE7460426A2FD83AD0BF7D14EE6725A |
|
CONTENT
ssdeep
|
768:AeycAijsPZA5X5s58g8tJFpt7sOy2+y9BH4crIe:W2ghgy5ZYpt7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d305b434ad34e5e5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
94ccccc8d88c8c00 |
|
VISUAL
wHash
|
467c6c206004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,94ecccc8c8d88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.