Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142334A736722787C83CB81DDBB392E45B2D1A49DE8870450F5986AED23C3C927187BB4 |
|
CONTENT
ssdeep
|
1536:a2+EsZ/8eeAOiDTEe+wHM/B+wOM/BwUXx+y9dQyDF1ZAU84HaX6u:aDCDwZwwUXxpDzHy6u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fdab0f092e4b1f0 |
|
VISUAL
aHash
|
ff3c3d3d3f03033f |
|
VISUAL
dHash
|
f969696969c7e7e7 |
|
VISUAL
wHash
|
ff3c3c352d03030f |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
00000c0c00947f7f,7969696969c7e7e7 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.