Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6B2B67161102B3F52A7C3C5B711F31EA2D39248DB46090A53FC87AE5BEBE50DD2762A |
|
CONTENT
ssdeep
|
768:PS5y5NMSiQQ9n8mWOqjiQi7sOy2+y9BH4crIe:cSiRkOcK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c252ed69b99236a9 |
|
VISUAL
aHash
|
000004040000ffff |
|
VISUAL
dHash
|
9cc0edcdcbc9c411 |
|
VISUAL
wHash
|
007c3c2c6820ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d69690ceae90afae,8080804100415141,9cc8c0cdc9c9cbcc,0000081010100000 |
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.