Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184C2B732B100263B41DBD2C9B3A2B32EA6E38249F746181591FD87AD4BD7D54CD3352B |
|
CONTENT
ssdeep
|
768:cScy5Neo0moXEMoRVPVrn7sOy2+y9BH4crIe:J0mHDdrn7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c765b43ad528c6cc |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c8cc6c2c8cde100 |
|
VISUAL
wHash
|
00e7f3302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940cc6c2c2c8cde1 |
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.