Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A29353732242AA3E354346925319B349938ADE09BB77F8D597C8439B63E2F50DC32DE1 |
|
CONTENT
ssdeep
|
1536:hLnLdVxhOtx5ZHYXQfqD23jGmhujnbKo+Q/FhXgSqAWEnZt6+8AK1eZbeM0eZvwi:juO7CuR+Hun |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c25069be96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
ad93c8d0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc230c0c,8d83d393c0c8dcc4,4101716169690149,01454d71714d5580,2a365352d0da9a18,c934914136b130f0,989915955525b2b5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.