Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5235A726322B86843DB92EEF7392D46B2D6489DF8C74414F5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8j4KDatOM7BltzM7B77Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:af+EsZ/8MKDatOM7BltzM7B77UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef90916d78c590c7 |
|
VISUAL
aHash
|
ffbdff8181818181 |
|
VISUAL
dHash
|
69714d4561414d45 |
|
VISUAL
wHash
|
ffffe78181818181 |
|
VISUAL
colorHash
|
1900f000200 |
|
VISUAL
cropResistant
|
69714d4561414d45,aaaa979596978593,f069cca3c113cbc3 |
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.