Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA234BB26322B86883DB91DEFB392D45B2D1589DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aaDt+EsZx8/G814Q9DawEMIBzweMIBVwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aaDt+EsZ/8+Q9DawEMIBzweMIBVwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef2b90846f12c16f |
|
VISUAL
aHash
|
9981818181ffffff |
|
VISUAL
dHash
|
7171414145000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
16000000e00 |
|
VISUAL
cropResistant
|
7171414145000000,22c0d4d0d0ccc4c4 |
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.