Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19532C9F29555683B1567C4D45AB0A769F1C2C6DDD8520281E2F4930F0FC5EE6FE83229 |
|
CONTENT
ssdeep
|
192:xOb7y9Tbhvvux4/hwMXJweVaaJNs7U648zj5GfV9VK2XMkg8o:hhHgmaaJN1NUj5Gd9VK2XMx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7775d8d0c22228b |
|
VISUAL
aHash
|
00e6e7e7ffffffff |
|
VISUAL
dHash
|
f20c4d4d69480200 |
|
VISUAL
wHash
|
0084a4a4bdbdfcfc |
|
VISUAL
colorHash
|
07201008080 |
|
VISUAL
cropResistant
|
0100d0d1d1430000,2c4c4d4d61080000,0040101010400000,7b536c5170d59127 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.