Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE20C216944ED6640CFAAC8A433023651FA5355D62746CDFEB4CBFA5BEEC6DCA33410 |
|
CONTENT
ssdeep
|
384:hsJO5xVZjqTSd8zNBXELiy/Y+nPacLNS+5LJBroUa87nft:hsIx/jyZELk+CuRwUf7nF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93447e11edd7007d |
|
VISUAL
aHash
|
06000c3e2e2e8dbd |
|
VISUAL
dHash
|
54dcd4c8dad84971 |
|
VISUAL
wHash
|
06003c7e3e6e8ebd |
|
VISUAL
colorHash
|
18000008180 |
|
VISUAL
cropResistant
|
93e66bc9c0c08195,a212252333275082,96235de9d9592b96,54dcd4c8dad84971 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.