Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199A37A33411935274437C6D130A95B3BD2A69D9FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:chLz4NP/y9svbliCdxl0oLFtiuCa28y2O9:chmAKl8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b83a9d4dc508 |
|
VISUAL
aHash
|
00003020000000ff |
|
VISUAL
dHash
|
440cc4c6c8cce398 |
|
VISUAL
wHash
|
c0eef670242071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,c60cccc6c8cccdc3 |
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.