Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182A38B33411835274437C6D530B55B3BD2A7995FFAA70A010EECD7EA2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:9zrLz4NP/y9svbliCdtYGcFtiuCa28y2O9:hmARW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766f53ad528d40a |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
14ccc2c2c9cdf398 |
|
VISUAL
wHash
|
00f7f0300015ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,14ccc6c2c8c9edf3 |
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.