Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18141961222850C0E3326F5A4FDD3EB8D775B8A45E20555B855E020FAD5CE620C8FAEDC |
|
CONTENT
ssdeep
|
24:hR/P2xn6zuJG1XfjJ8YgoFFSGHYusbPJmXvaMXdYkkco4bgA2LotvS/scDnLUrwG:THUg/5fpge4m18CdhWbJoiW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f158c796c9e0eb81 |
|
VISUAL
aHash
|
ee88c3c00ea5e7e1 |
|
VISUAL
dHash
|
92129792b44d4e4a |
|
VISUAL
wHash
|
fe88c3c01ea5e7e0 |
|
VISUAL
colorHash
|
32600010000 |
|
VISUAL
cropResistant
|
92129792b44d4e4a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)