Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1639429587240751342E720E5503F470AB3769696E80A886CB6F8DAD97EBCC5C913BFBC |
|
CONTENT
ssdeep
|
6144:0ar6Y3XTLbTBKSItNBKf6GBvTiq87MU0q9STmjyl5M/GE+TsGavWNYeePi90:0KLbjj87MC6NYe+i90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b10eb4c3d1ee5b0a |
|
VISUAL
aHash
|
ff0300000000ffff |
|
VISUAL
dHash
|
26167954d0d81e1e |
|
VISUAL
wHash
|
ff870000006cffff |
|
VISUAL
colorHash
|
0e006200000 |
|
VISUAL
cropResistant
|
c4db2623c01616d4,c8001e1e1f0a1a1a,000014c4cc940b04,167c7179d4d0d8d8 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.