Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D234AB26722B8A843DB91DEE7382D56B2C2589DF8C74414F6C95ACE13C3C817197BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G8Y4LDawiMbBvw+MbBuwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:ai+EsZ/8LLDawiMbBvw+MbBuwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb7ad4942f85c1c1 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
2d1f171707000000 |
|
VISUAL
wHash
|
8180810181ffffff |
|
VISUAL
colorHash
|
16001000180 |
|
VISUAL
cropResistant
|
2d1f171707000000,6e2e86929797aa97 |
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.