Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBC29532B1106A3B11A7C3C9B771E71FE2E2820EDA97055856FD83AE4BD7D94DE23019 |
|
CONTENT
ssdeep
|
768:4SkZB5SFpVKmJzfcTxm7sOy2+y9BH4c1Ie:UJmJzr7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc54396ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c498ccccc0e0cc00 |
|
VISUAL
wHash
|
00006c747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
4080800458988000,c492ccccc8c8e0cc |
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.