Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF230D51694DE83B41CF6EC854369624A2FA8344CA161A88FBB4D3FDC79FE6CDA73011 |
|
CONTENT
ssdeep
|
768:eRyp41SlUs2R/jxaFk1lVWpr5ZIYBG4Uf72:eqlUs2RFAXIYBk72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87c53c35a5853d3c |
|
VISUAL
aHash
|
03ffffff20000000 |
|
VISUAL
dHash
|
b6c9cac8c2084809 |
|
VISUAL
wHash
|
02ffffff04000001 |
|
VISUAL
colorHash
|
38000038080 |
|
VISUAL
cropResistant
|
b6c9cac8c2084809 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.