Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154E2B6317100763F059793D9B362F32EA2B38349DA5A090592FD83AD0BE7D64DE7361A |
|
CONTENT
ssdeep
|
768:GS5y5NkQvJ5uWa7RjzDhWLrXsF6Fx8BAQSM7sOy2+y9BH4crIe:CvJq4L0gM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b26bed128d6d9283 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
09094b63cd0c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,0a094b2b43cddc33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)