Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE294316110773B428793C9F362B72BA3E78385D616051592FEC36D1BE3DA0DE2392A |
|
CONTENT
ssdeep
|
768:3S5y5NVSrRYfzpYo6zrQEFLRTHP8wW7sOy2+y9BH4cLIe:SfoWRTPW7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed128d6d92c7 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
190d4b4bcd0c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,120d4d4b4bcdcc33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.