Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A37A33411935274437C6D130A55B3BE2A6DA4FFAA70A010EECD7FA5BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:IiGXLz4NP/y9svbliCdvogFtiuCa28y2O9:JCmAT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc38992dc503 |
|
VISUAL
aHash
|
00042000000000ff |
|
VISUAL
dHash
|
044cccc2c8cda398 |
|
VISUAL
wHash
|
80eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cccc6c8ccc583 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.