Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18094E8E0336493F9F406E3FDD7376870395628EEBB928998C3A15E54E98146C4E88CD7 |
|
CONTENT
ssdeep
|
1536:ofidMfQoROcMuwd/fidMfQoR6crI7fidMfQoR6crNhfidMfQoR6creqfidMfQoRD:myu6KRJYaha14pR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dad825525a5ae54d |
|
VISUAL
aHash
|
3cffff9c98ff0000 |
|
VISUAL
dHash
|
750f9631318e6d65 |
|
VISUAL
wHash
|
10ffff9c98ff0000 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
750f9631318e6d65,4e0acaca0a8a4a5b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)