Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1736305107212BB6D6C734F74F38435B6D1AFD345E4E6642DB3A8825132C31B8CA6B9D9 |
|
CONTENT
ssdeep
|
1536:gmY0wA3wnH+CI06W3E4t9fIMSjqDZ7U1c/T3MYJ7b4tBcKt2NV7X473:OAYJ7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b130cfcfcb333070 |
|
VISUAL
aHash
|
efc3c3c7ffefefef |
|
VISUAL
dHash
|
0a169e8e1e1e1e1e |
|
VISUAL
wHash
|
c383c3c3c7c7c383 |
|
VISUAL
colorHash
|
07600000400 |
|
VISUAL
cropResistant
|
0a169e8e1e1e1e1e,ffffffdbf3f37d5b |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.