Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125F3A5B022502B7A14D787F0B6E1BF9EE29D9345DA53C159F3E8C32A1BCAC94DE52350 |
|
CONTENT
ssdeep
|
1536:8AmjY/h5Gx8P7fqHvOSpKH0CnEDzkmwe9:8AD5Gx8P7yft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b219b30ecc26cc |
|
VISUAL
aHash
|
e7e7e7e7e7e7ff00 |
|
VISUAL
dHash
|
4c4d4d4d4d4d4e28 |
|
VISUAL
wHash
|
c3c3c3e7e3c3e600 |
|
VISUAL
colorHash
|
07002000201 |
|
VISUAL
cropResistant
|
4c4d4d4d4d4d4c2a,071737b396b43113,d1da1ad6d3554831,057868688a707805,2130303220003210 |
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 324 techniques to evade detection by security scanners and make reverse engineering more difficult.