Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DA38B33411835274437C6D530A55B3BD2A69E4FFAA70A014EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:lS/y5NhgViZLz4NP3+mZY9svblTOCVr7AZU0mFtiuCa28y2OZL:YViZLz4NP/y9svbliCdHFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3ad52bc548 |
|
VISUAL
aHash
|
00002000000011ff |
|
VISUAL
dHash
|
8c8cc2c2c8cdf388 |
|
VISUAL
wHash
|
00e7f1702004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
82048081185880a0,9c0cc6c2c2c8cdf3 |
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.