Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD2B572A140173F02A3D2C9B361BB2E92D7C24DDB89191653FC476E1BEAE50DD3351A |
|
CONTENT
ssdeep
|
768:KSXy5NT6bPQ17U1AX/pG69mCov6d/7sOy2+y9BH4cLIe:hbPQ17U1AXBR9mCoe/7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d92d9082 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc4ce600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
208080106c888000,1409c3c3c3cccce6 |
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.