Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159F17522B216651D73CA4268FE71C7DBB3158294C31D4FF92AA9433FB88C2E189365DD |
|
CONTENT
ssdeep
|
192:HTViDu2abgOOw3aZTq9BjCDNR/n1jGGOlEXwtOPKADycP:HTqu2aslw3aTJWEXwtdADx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac1306fcf36c0b39 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
fef8fb9e1a262624 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
80808080006effff,849d9bdcda9656dd,181a1e2626262668,ff7fecfc7bf3ffff |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.