Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1075158718056FA3702E3C6D496B53B6FB2C6C68BCE230A4A92F4534D1BC6EA4CD034A5 |
|
CONTENT
ssdeep
|
48:bSFIyAto/A4rdbfR0Oc7iqIEFfqIE0Z5IEbirIEeIjl:F2lk1Z5i1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3399966cc996698 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7ff |
|
VISUAL
dHash
|
0c4c0c4c4c4d4c30 |
|
VISUAL
wHash
|
00000024e7e7c3ff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
0c4c0c4c4c4d4c30 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)