Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141022493110C1A35C372458954503A80E283E1CFC9A48BB4967D5E7F2BE6F9366A3E7F |
|
CONTENT
ssdeep
|
192:4ceOazfXJHjbP1jZRAUGWjwSAX8PMlw9ujwEAEXHPxgXLW:azfZ3RWS7PZE0LW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9092c396c693c7 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
2b33332b2b2b2b2b |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
3320a000000 |
|
VISUAL
cropResistant
|
2b33332b2b2b2b2b,f071320f94948661 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)