Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AA39631B13185BA406FB2C2E164871963A3E306DA4303FBA7EC97259FCCEB59D13695 |
|
CONTENT
ssdeep
|
768:dpTxYYzJBvhcKQpWLZ4IL7vsZZ4LsnS/en/RbgeFuh:dph//Z4IsDcsnS/eRgeYh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e142bf3d9b4bc070 |
|
VISUAL
aHash
|
2861fcf8000000ff |
|
VISUAL
dHash
|
59cf89a98e9a020d |
|
VISUAL
wHash
|
7f27fcf8c00000ff |
|
VISUAL
colorHash
|
38c00010000 |
|
VISUAL
cropResistant
|
0093d94a32938980,59cf80a98f9ada0d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.