Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE165E1C008DD36031286D6FBF56B5F76D1C749CF02098493F883AB9BDAC60CE66699 |
|
CONTENT
ssdeep
|
96:TkN79oh4hDBeQ8v67Mozdtjx/wvF3e1XrHFJexX6z/JUhtmMFO9EjQPJ:QN79oh4hDL8iIYdpx/9SMzCYMFO9EjQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc64e193cb96c4c6 |
|
VISUAL
aHash
|
c381c381ffffffb9 |
|
VISUAL
dHash
|
163317232b302b2b |
|
VISUAL
wHash
|
c381818189ffef99 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
163317232b302b2b,01a0aa23a28a96a6,ac5242616161611e |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.