Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B153AA3C75077C2A6A37CAD0F1A97F107096AF36C5984968B7B412946FD2CE4EC27368 |
|
CONTENT
ssdeep
|
1536:0KXuRJdLp01EPPhgNQuWLMZ1L1E+PhgjYbWbMZ1L1EzPhgsg5WLMZ1L1EwPhgE9c:dm01YPhgNQuWLMZ1L1RPhgjYbWbMZ1L4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333155cccccccc |
|
VISUAL
aHash
|
42c3e7e7ffffffff |
|
VISUAL
dHash
|
8e0e8c0c080c8c8c |
|
VISUAL
wHash
|
42c3c3c7c7c74743 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
8e0e8c0c080c8c8c,a4ad8d9f9c3c3e2e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.