Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC8374B5E2113A3F016747A9F2ACFE98A146BA44CA6FCF45B2EC424B13E9C54DF34584 |
|
CONTENT
ssdeep
|
768:H9d5Wi1Rr96QCRsCCRB6bE86uEM6xEg6DEw6VEj6tE06pEn6bEp6SE667E063EsV:tWiL9MS07nAv4y7nhyiD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb0a59c8f5aa2d0b |
|
VISUAL
aHash
|
99a501a7ffffffc2 |
|
VISUAL
dHash
|
33494d69061e0c26 |
|
VISUAL
wHash
|
998101a5e7c3ffc2 |
|
VISUAL
colorHash
|
07001000280 |
|
VISUAL
cropResistant
|
33494d69061e0c26 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.