Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CA39B33411835274437C6D530A55B3BD2A79A4FFAA70A014EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:jALz4NP/y9svbliCdD1Buup+JfFtiuCa28y2O9:KmA4Bhp4E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed12cd6d9269 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
0d094b63c90c33f8 |
|
VISUAL
wHash
|
c0efe7192c0e00ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,6906a08138308090,0d094b6b43cd5c33 |
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.