Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A3CB23411939274437C2C1347A5B3BD1A6999BFAE70E010EECCBFA6BF9CA0745B159 |
|
CONTENT
ssdeep
|
768:pCUtpR4nXF6YjOpSpFlTC6rrWEAvEZQmxmLjSV3:pFtpR4nXBKpSpFl26vDAvE+mxmLje3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b96cc63cc193ce |
|
VISUAL
aHash
|
ff006f0e3e7e7400 |
|
VISUAL
dHash
|
c9cfd8d86ccce467 |
|
VISUAL
wHash
|
ff006f0e3e7e7400 |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
b494e8cc82969ae6,c9cfd8d86ccce467 |
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.