Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195437578A8427D3FB183CBE5A276636AB3828641CF138BC057E043795EC6DD9DF22159 |
|
CONTENT
ssdeep
|
768:lUXZCuagQt0ceGDlxj6P2Fsh2nQuGkH+K0Pm:lg9agQt0ceGxxjq2FshyFmm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3c36c3893c37e18 |
|
VISUAL
aHash
|
00707c7c0c0c0000 |
|
VISUAL
dHash
|
dcccc8c818580008 |
|
VISUAL
wHash
|
6eff7e7e1e0c0080 |
|
VISUAL
colorHash
|
38006008000 |
|
VISUAL
cropResistant
|
0808098c8c884908,dcccc8c818580008 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.