Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E91284E1D050ED374B5281C6BBB63B1F76A5C345CF020A5463F883AA57CED91CA2299E |
|
CONTENT
ssdeep
|
96:4ekzYtqOSTgIT98v67M0dfxEhnyOFL2X2HFmyX1X/ciYnAjISZoSTFv+PTTx:4ekzYtkz58iIOfxEvbXxG8hhcR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc50a8d0a1f857b |
|
VISUAL
aHash
|
ffefefffffff0000 |
|
VISUAL
dHash
|
480c0c181d225d55 |
|
VISUAL
wHash
|
3fe7e7efef000000 |
|
VISUAL
colorHash
|
074010000c0 |
|
VISUAL
cropResistant
|
480c0c181d225d55,f6eacbdadad8dacb,b4b098948c889cbb,13daed11c1c8e8e0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.