Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF81656394803337614713C64FAFDB09B7E90497DA2A2A12D5F9C25A768FD94E82781C |
|
CONTENT
ssdeep
|
96:hFwNlhlLlDlPlLlrlDlniuBUW6VsKpT5NcTjpu:izxp1RhJhi2cVsKpXCjpu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b37959733319464c |
|
VISUAL
aHash
|
0081c3e7e7e7ffff |
|
VISUAL
dHash
|
c80b2b4c4d4d3010 |
|
VISUAL
wHash
|
008180e627273f03 |
|
VISUAL
colorHash
|
00000006000 |
|
VISUAL
cropResistant
|
4b2b0f4d4d4d3014,66e6e0e1d2e62723,0c30303232303004,4a5131185d1d5d41,b14c4cb434341403,3de470c6c5a1b271 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.