Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176235BB26322B4A883DB91DEBB383D56B2D15889F8C74414F5C95ACE13C3C916297BB4 |
|
CONTENT
ssdeep
|
768:ak+EsZx8/G8z4/Daw8MYB0wXMYBNwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:ak+EsZ/8c/Daw8MYB0wXMYBNw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2f85953a94c563 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d454d4d4d020000 |
|
VISUAL
wHash
|
8101818081ffffff |
|
VISUAL
colorHash
|
16003200080 |
|
VISUAL
cropResistant
|
4d454d4d4d020000,969ee4cc8cac8c8c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.