Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C93BC23411975274437C2C1347A6B3BD1A6999FFAE70A010EECCBFB6AF9CA0745B119 |
|
CONTENT
ssdeep
|
768:H9r2GtpR4nXF6YjOpSpFlTC6rr7LQqgK38e/p0s/KVO:H9rRtpR4nXBKpSpFl26v/QqgK3cs/iO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e13e1ed961c6cc |
|
VISUAL
aHash
|
40097171f935302c |
|
VISUAL
dHash
|
89d3c3c3f16de5ed |
|
VISUAL
wHash
|
41297179ff35303c |
|
VISUAL
colorHash
|
30402000040 |
|
VISUAL
cropResistant
|
89d3c3c3f16de5ed |
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.