Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182A37933415935274437C6D430A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:seGGEfFyXLz4NP3+mZY9svblTOCVrLgvWUx6JKIL:ZLz4NP/y9svbliCd8ev |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d276dc31094d65c7 |
|
VISUAL
aHash
|
84c4f0242f073c3c |
|
VISUAL
dHash
|
1c2c6049cd0f6171 |
|
VISUAL
wHash
|
c0c6f03d2f07bc3c |
|
VISUAL
colorHash
|
38000c000c0 |
|
VISUAL
cropResistant
|
1c2c6049cd0f6171 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.