Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C43CC616440CC2702CB6AEA917D1A15A6B58780C613169DFDB6C7FE2BEAC7CDB33170 |
|
CONTENT
ssdeep
|
1536:DH0L/evigsIxOPEi8dBInPMko9+CQLJwapIke9UC4CdCFCokf9KCDk192CPL9weP:bGlo3j72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c76c79331696c5 |
|
VISUAL
aHash
|
00307e7e6e040001 |
|
VISUAL
dHash
|
dcc2ccccd88d821d |
|
VISUAL
wHash
|
02717f7f6f654101 |
|
VISUAL
colorHash
|
30000000190 |
|
VISUAL
cropResistant
|
f0d8e3e6fefffcf0,dcc2ccccd88d821d |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.