Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18533823650006A7F11938AC277B63B6EB7D6E245C7534A2677F8830C07D7E84CD36AA6 |
|
CONTENT
ssdeep
|
768:6JQlmLL+I6cjuAlYvgdeaG3n111yz9CYRcJ+E/tiv1xzq:FULL+Ihf8a6nHOu+E/tiXO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f64cc9379136c239 |
|
VISUAL
aHash
|
f0f0f0e6868686fc |
|
VISUAL
dHash
|
6427242c2c2c2c90 |
|
VISUAL
wHash
|
f0f0f0e6868686fc |
|
VISUAL
colorHash
|
03000008030 |
|
VISUAL
cropResistant
|
61301333333333cc,14d8c6c474646458,6427242c2c2c2c90 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.