Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195E2B53161007A3B42D7C2DAB361E32AB2A78349D7560545D2FD83BE0BE7D54DE3362A |
|
CONTENT
ssdeep
|
768:hS5y5NbmXnc3ohH1lQQeuUJYXRZfS1W4ZbWcG7sOy2+y9BH4crIe:+Xn35Gm4ZG7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed128d6d928f |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
19094b4bcd0c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,12094b4b43cdcc33 |
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.