Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158F1003090416E778287E2E4EA21EB1B73D153D5E7030B050BF4A39EEACFDD99D1A195 |
|
CONTENT
ssdeep
|
192:iIKgbcjGDsQy9Ky9WyhxP7G/5Jd/S/b/+/4g+pMZJNmANjFz:r1g79lxUDF87gJ+p+YW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d9d6363674c5819 |
|
VISUAL
aHash
|
001c1c3c00000000 |
|
VISUAL
dHash
|
6232323260cc50c0 |
|
VISUAL
wHash
|
003f1c3c30707070 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4848494848484848,eae0b2e2bc8a83a4,62b23232608cd0c0 |
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 50 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)