Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B333A736322B87C83CB82DDBB392E45B6C1A49DE9870450F5986ADD23C3D817187BB4 |
|
CONTENT
ssdeep
|
1536:aL+EsZ/8be1OrDTEe+tPMRBetnMRBQUXx+y9dQyDF1ZAU84HaXru:aU6Wt1tfUXxpDzHyru |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da966121c79a29e7 |
|
VISUAL
aHash
|
fcdcdcfcfc80c0c0 |
|
VISUAL
dHash
|
4c343830603c3414 |
|
VISUAL
wHash
|
fcdcdcdcbcc0c0c0 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
4c343830603c3414 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.