Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10893F8B123C16A3F2043C2F0D724A56AA385DA49DB33CD86E3FC872755D9CEC9D254A9 |
|
CONTENT
ssdeep
|
768:rG005k8E00PUUzk0DQ0bPM88EEkE/TQ005k8E00PUUzk0DQ0bPM88EEkE/TkrJ0a:qrJ0Ig40U7kUbKCOaoK0qOo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b474300d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b474300d,5a9989cbcd4d45e5 |
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.
Pages with identical visual appearance (based on perceptual hash)