Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA398B29251583760BBA2D9F534671DA3D3C34BC78247E1A2F8E35B1E86CA1FC23459 |
|
CONTENT
ssdeep
|
1536:QwUXWnzxrgyqZm2lm28CFL6wFUtJnLIdmMiEcEOS:vUXWzSyMbUtJnLIdmM5cEOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6136365d9983c6c |
|
VISUAL
aHash
|
66e7c3dfc3c3f7c3 |
|
VISUAL
dHash
|
aa49ae30a6262e06 |
|
VISUAL
wHash
|
2264c3dfc3c3c3c3 |
|
VISUAL
colorHash
|
07200008280 |
|
VISUAL
cropResistant
|
aa49ae30a6262e06,9f0f1731fd272136 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.