Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2E1B63491448A2F51238AE4FBA5B72D26A9E387E257D64CE1AD01B137CBCA4D8337D4 |
|
CONTENT
ssdeep
|
96:TkvNjlweB7fE/kHxK55aVYx9kqzmNkpVmNkXXmLbJM4tkcR0mimbJM4tkcRP6CkU:wvBWM76zOYxtvPqJ5xazAJ5xECGW9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cc26733366 |
|
VISUAL
aHash
|
1818081818181818 |
|
VISUAL
dHash
|
b2b23ab2b2b2b2b3 |
|
VISUAL
wHash
|
5abd395a1a1c1939 |
|
VISUAL
colorHash
|
01008000c00 |
|
VISUAL
cropResistant
|
6e4f5b28b4bcb2ae,b2b23ab2b2b2b2b3,c7c76dc99bbbcc6c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)