Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133D3ED73415579374177C6C160B95B3BE2E69E4BFAA30E014AFCC7FA5BEAC90B40610A |
|
CONTENT
ssdeep
|
1536:arCQkvWZtsEJPjQBq1Wixx2fqERigS32LpEidGkOrC1DRdWyygr/+KAZavkqoWVl:6uCLq+tbpaZuU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c933364319663e |
|
VISUAL
aHash
|
00ffd7ffc78787c7 |
|
VISUAL
dHash
|
292627200d0d0d0d |
|
VISUAL
wHash
|
00c3c3ff87878787 |
|
VISUAL
colorHash
|
06000018003 |
|
VISUAL
cropResistant
|
252627200d0d0d0d,0090066969332020,c20224040c0464c4 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.