Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122334B73676278BC83CB81DDB7392E45B6C1A48DE9870450B6D86ADD23C3C927187BB4 |
|
CONTENT
ssdeep
|
1536:aSRe+EsZ/8AleAOQxDTEe+wOM/BbwOM/BBUXx+y9dQyDF1ZAU84HaX6u:a+OtwbwBUXxpDzHy6u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80ea87c1bf90b89f |
|
VISUAL
aHash
|
ff004000007f7f00 |
|
VISUAL
dHash
|
cd819181a180887f |
|
VISUAL
wHash
|
ff694140417f7f01 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
08000c0c0800df7f,0002241454444b00,c981a1819180c87f |
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.