Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187426233E600DD29899F558CF2C096CD525ED345FB3248CAA2A091BF7BC8DF168653AD |
|
CONTENT
ssdeep
|
192:0n0MSYcYIccchaid382FYCf2FaMdcAxqMcnthWeNWbh4QUHjR/fMmUU8VCou:+ctccchaid382FYCf2FdNK5fMmUFCou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4aa5b55a42b47e |
|
VISUAL
aHash
|
f8787878f8ffffff |
|
VISUAL
dHash
|
c3e1e1c141000100 |
|
VISUAL
wHash
|
4808080838fbffff |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
c3e1e1c141000100,6a966a724816fa02 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.