Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125A3CB23415935274437C2C134AA5B3BD1A6D99FFAE70A010EECCBFB6AF9CA0741B519 |
|
CONTENT
ssdeep
|
1536:StpR4nXBKpSpFl26v5jtLHJ+OOatUyH7C:GUMEjtLHjro |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0651f3b89e0c6ed |
|
VISUAL
aHash
|
0000f0f17804783e |
|
VISUAL
dHash
|
98d0e7c3d3edb1e0 |
|
VISUAL
wHash
|
4060f0f179747c3f |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
98d0e7c3d3edb1e0 |
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.