Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A938B33421935270537C6D430A95B37D2A6DE5FFAA70A010EECD7EB2BEDCA0745A11A |
|
CONTENT
ssdeep
|
768:XRwt44KPpdtNDztsEJPlEmzkBq1WiJrxVE3zJ57v:XA44KPpDNvtsEJPjQBq1Wixx23zJN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c1c93626c1ddc5 |
|
VISUAL
aHash
|
ffcfcf878787cfff |
|
VISUAL
dHash
|
b01c3c2d2d3d3d2c |
|
VISUAL
wHash
|
1e87878787878787 |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
b01c3c2d2d3d3d2c,4cb2b038f2e2ecec |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.