Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BA3CE23411935274437C2C1347A5B3BD1A6D99FFAE70A410EECCBFA6AF9C90745B229 |
|
CONTENT
ssdeep
|
768:OgpDItpR4nXF6YjOpSpFlTC6rr75Ixq1y2xmp0TY+oS:OgpktpR4nXBKpSpFl26vmxq1ySRTY+oS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfe09e1891c5c2bd |
|
VISUAL
aHash
|
feb1717111143f3f |
|
VISUAL
dHash
|
6063c3c3f36d6678 |
|
VISUAL
wHash
|
fcb1717111101f3f |
|
VISUAL
colorHash
|
1ec00048000 |
|
VISUAL
cropResistant
|
13118d9d450d0d9d,6063c3c3f36d6678 |
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.