Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151639732A25658039097D2D5F2719B1F22828389C7174FA163F857BE7ECACF5AE112DC |
|
CONTENT
ssdeep
|
1536:iBrMU3OUbJo+FujIuXRbuHuZuXuouqRPozXfZ3f+mkR2GRleVO+eH99hGbzSGc+V:+rMzXBiO0eTOmkR2k8VleH99hG3SGPuO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346d324dce999a |
|
VISUAL
aHash
|
20207c7e0c6c3c38 |
|
VISUAL
dHash
|
c4ccd8d8d8d8d8d2 |
|
VISUAL
wHash
|
20423e7e4e6e7c78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
c4ccd8d8d8d8d8d2,f0ec496198dc84fa,7324849d9d98dc71,2bebcbf92d2d250d |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.