Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACE2D811E3902B35065307EDFA50A271A3925384E31730E92AE7DFF86E46E9AE43305F |
|
CONTENT
ssdeep
|
384:hjBJC8esjPBK5vx9ZebQQKMCitDa7ruJuMxCYATNdRA/J:htZsD9ZOtDY9Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b031cfcd649ace31 |
|
VISUAL
aHash
|
ffc7c3c3c3c7ffff |
|
VISUAL
dHash
|
239e9e9e96969c06 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
239e9e9e96969c06,ddeb83abb3f7a7e7 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.