Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE33C6316588353B10A383E6A3615B6B32E94319CB172E0FA3F98FB44FE7C51BC56169 |
|
CONTENT
ssdeep
|
768:O0aB5XCF6NzdE6Pka2R0f6JOWcJBy/cFmQD7ujFSkPHRtSJSkavrHlpVp8n0QBtb:0yKxsPOJBGCDD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96e6c96919329733 |
|
VISUAL
aHash
|
9aff7e460030001c |
|
VISUAL
dHash
|
76e6cc9cd3c058f8 |
|
VISUAL
wHash
|
9ffffe6e0030003c |
|
VISUAL
colorHash
|
39206008000 |
|
VISUAL
cropResistant
|
e7b9c1db9a9cc279,b696b65b4da696f6,76e6cc9cd3c058f8 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.