Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186E2B832A1209A3B42E786C9B7A17F2DA3E34389D649045995FD83F91FD3E08DD33691 |
|
CONTENT
ssdeep
|
768:Aer8grsXRDJPsbANBB1LZqT7Tux7sOy2+y9BH4c1Ie:kgrs/0QZWTux7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303b53af42cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c8c0c0c898c100 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,69c8c0c0c0c89cc0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.