Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D2993171106A3B0297D2D6B375572FA2E3434FE7460515A2FD83AD0BF7D14DA2722A |
|
CONTENT
ssdeep
|
768:Teu3f2Y/Qtk5s5drr7s77sOy2+y9BH4c1Ie:Pfg75dTs77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430bd34e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c8d8888c00 |
|
VISUAL
wHash
|
067c74306004ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccc4c0c8d8888c |
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)