Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBF11FF0D050ED3B475285D9EBBA6B0B76D1C349CF07094493F883ABABCAC60CB25599 |
|
CONTENT
ssdeep
|
96:TkSnbzD71tDlt8v67Mcddt7uaGq2X9wvFFQeJX7HFheRXwz/ZYbtg2Eq2J:QSnbzD715lt8iIGd8aGqNVGSzxW62Eqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1938e64969a6d93 |
|
VISUAL
aHash
|
ffffffffc3c3c3ff |
|
VISUAL
dHash
|
080c16088e969600 |
|
VISUAL
wHash
|
2424242400000034 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080c16088e969600,008021968461a004 |
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.