Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E2A8F2961E32BD614747E8EA27471A73BBD5DDE6324124127C23A80BE7DE6EC1B050 |
|
CONTENT
ssdeep
|
384:JwE4ZG6zh+2V4Hzp8Y4ZG6zh+2V4HzpIeO4HV0rqzUkFt+axjQi7blctfXsDELYz:74RiHV8Y4RiHV8Oka1QIbWDLYz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6989866d992c5c7 |
|
VISUAL
aHash
|
cfcfffe3e3e1e3ff |
|
VISUAL
dHash
|
2e3e4f0b4f4f4f06 |
|
VISUAL
wHash
|
8383c3e3e1e1e1e3 |
|
VISUAL
colorHash
|
07601000040 |
|
VISUAL
cropResistant
|
2e3e4f0b4f4f4f06,001020e4e42438c0,08223c386031652c,cd4d4dac2f6fad3c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)