Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA3CB23411979274437C6C1346A6F3BD1A68D5FFAE60E010EECCBFA6AF9CA0745A11D |
|
CONTENT
ssdeep
|
768:BxmtpR4nXF6YjOpSpFlTC6rrbBRcQAx7IVcQX:BxmtpR4nXBKpSpFl26vbBqQusVZX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9753ec6c989343c5 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
3065687874657a26 |
|
VISUAL
wHash
|
98303c3c1410ffff |
|
VISUAL
colorHash
|
17600040080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,7883c06e36289626,30654c687876656e |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.