Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CA3DE23411935274437C2C1346A5B3BD1A6D95FFAE70E010EECCBFA6AF9CA0746B619 |
|
CONTENT
ssdeep
|
768:D4EJqtpR4nXF6YjOpSpFlTC6rrW8teP8N2zt3lkLZ7UYsE:DpgtpR4nXBKpSpFl26vRM62zRlsZ72E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339ecc6fa1c9163 |
|
VISUAL
aHash
|
ff000e0e7e7e30ff |
|
VISUAL
dHash
|
c9cfd8f8ccccec0f |
|
VISUAL
wHash
|
ff000e0c3c7e20ff |
|
VISUAL
colorHash
|
19006000040 |
|
VISUAL
cropResistant
|
a494e8cc829612f6,5100010000000000,c8cfd8f8ccccec6f |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)