Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD226233E600DD298DAB558CF1C09688525EC345FB3148CAB2A491FF7BC4DF069A97AD |
|
CONTENT
ssdeep
|
192:C33JcYcecCGCAx3RMcnthWeNWbOAtoi4mzVfMmUU8VCo1:2cecCsAtoi4mzVfMmUFCo1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cff070cf078f |
|
VISUAL
aHash
|
c7c787c7c7c7ffff |
|
VISUAL
dHash
|
9d9d1d9d9d9d000c |
|
VISUAL
wHash
|
0404040447c7fffe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
9d9d1d9d9d9d000c,6c3370787d7d7f7f |
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.