Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7A36833411935274437C6D530A55B3BE2A69D4FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:3Svy5NFYy9SfcLz4NP3+mZY9svblTOCVrHIrwwJFtiuCa28y2OZL:yf0Lz4NP/y9svbliCdo3FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f53edc2c9c43 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
8cc8c0c8c9e7cec8 |
|
VISUAL
wHash
|
40ec78202f0767ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
808081103000a080,8cc8c0e2c8cd3fce |
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.