Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135A3AC23411975274437C2C1346A5F3BD1E6999FFAE70A010EECCBFA6AF9C90B45B219 |
|
CONTENT
ssdeep
|
768:kq6tpR4nXF6YjOpSpFlTC6rr7gVmy0fFkugZ3p06CQSA:kFtpR4nXBKpSpFl26vCmFtkugc6CjA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e1353ec1c4c6bd |
|
VISUAL
aHash
|
40097171f935302c |
|
VISUAL
dHash
|
cb1be3c3d16de5cd |
|
VISUAL
wHash
|
412b7179fd35303c |
|
VISUAL
colorHash
|
30402000040 |
|
VISUAL
cropResistant
|
cb1be3c3d16de5cd |
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.