Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD72CCB151298A7751A7B2E3A8A0274FA5E1464BDB83073093F8938F1FC5DD4DF2245E |
|
CONTENT
ssdeep
|
384:myCN5kxLTHH37TZDqWhs/A0r5r4KkJx91TuRZRmwpEC852mvkFWB+MoJbMgIcf4q:1CN5kxLTX7TZDqWhUybTuomgkF3PaaQq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dabdc1c2a4738c99 |
|
VISUAL
aHash
|
bf8f8f84acf0e8fc |
|
VISUAL
dHash
|
2c2c382d29294949 |
|
VISUAL
wHash
|
9f870f849ce0e8f8 |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
2c2c382d29294949 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.