Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190F29931B1106A3B519B93CDB753E32AE6D39309E94A050582FDD3AD5BF3C90EE23529 |
|
CONTENT
ssdeep
|
768:x5y5NcrxACrzmhqnOOHCbJ7sOy2+y9BH4cLIe:fxnrzOkOOHo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c54d926c7d32 |
|
VISUAL
aHash
|
3b0f838fcfd1f0fe |
|
VISUAL
dHash
|
e2ba1e3c1d26a298 |
|
VISUAL
wHash
|
1b0f0387c7c0f0fe |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
e2ba1e3c1d26a298 |
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.