Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122F186F06404540B121781CE6697BB4B2493E3468F61186156DA83ABBADFAF0DCEB3D3 |
|
CONTENT
ssdeep
|
96:T84T4XmBB5BeIR1J4EDsJsZdSdaGvmT+uHVWu/u/z3+7co8Q1+LQD:ACBXoiwQymT+eVWD/z3+Q/4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b064679a9b67989a |
|
VISUAL
aHash
|
c3c3c3c3ffffe7ff |
|
VISUAL
dHash
|
96969696000e4d00 |
|
VISUAL
wHash
|
c0c0c0c0c3c3e7ff |
|
VISUAL
colorHash
|
06000000198 |
|
VISUAL
cropResistant
|
96969696000e4d00,aaf0969696d4aad4 |
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.