Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA38933411935274437C6D530B59B3BD2A6DA4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:j+A7Lz4NP/y9svbliCdxokFtiuCa28y2O9:KymAV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc3a9c29c143 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
044ccec6cccd0398 |
|
VISUAL
wHash
|
c0e6e6300401ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
8000a08138188090,840ccccee8cdc103 |
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.