Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6148622D3844A424333589872EAAB1CA322129FEF534F75AF9A089DDF4D17927D734D |
|
CONTENT
ssdeep
|
768:eTzLS+Sq7ZsSYXtOlJM+lWlrCXljult23lflTDYDUlRklB5ql3YAleslo8Eljj4+:sfS+Sq7BDopdxxXkJMV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cccd9b3330649b |
|
VISUAL
aHash
|
efffc3c3c3c7c3c3 |
|
VISUAL
dHash
|
9e56868e8e8e9e8e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06200010200 |
|
VISUAL
cropResistant
|
9e56868e8e8e9e8e,9b9a9a9496b632aa,cec2c5cec62e3536 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.