Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C34C703624B56F6AB343E7E09B2302737C471FD00E49747364E8AA3799C99A16BF85 |
|
CONTENT
ssdeep
|
1536:8JdxDdTk/HDsI8whVcYTVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:gdTkLsQhHTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6ce3da98c3 |
|
VISUAL
aHash
|
0b000c0c0003ffff |
|
VISUAL
dHash
|
3bedd9d9ddbf000d |
|
VISUAL
wHash
|
bf000c0c001fffff |
|
VISUAL
colorHash
|
03003000600 |
|
VISUAL
cropResistant
|
3bedd9d9ddbf000d,f4f0a89a92e092bc,e4a2809e92b280ea,ffefcccceccdcfbf |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.