Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFA39570A546EB77029746E3A7725F1F7388919DEA0342C6A2FAC3684FCAC45DC32749 |
|
CONTENT
ssdeep
|
1536:qrxggDHaV68E8R8k58R838w8P8a8J8K838mmO+mRJhWGCGmnZBv+EHUuXNC+JvAp:qAV6Dm3AGRm3CfSZ2R+29JvASHq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c1223f038bdf27 |
|
VISUAL
aHash
|
70e0f87830988000 |
|
VISUAL
dHash
|
c084e0f1413323c7 |
|
VISUAL
wHash
|
78f0f87cb8f8c150 |
|
VISUAL
colorHash
|
38006008000 |
|
VISUAL
cropResistant
|
5333a2a6b226a6d0,c084e0f1413323c7 |
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.