Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA36A33411935274437C6D530B55B3BD2A6DA4FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:5eILz4NP/y9svbliCde97sPFtiuCa28y2O9:RmAfOU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc38d561c34d |
|
VISUAL
aHash
|
00002020000400ff |
|
VISUAL
dHash
|
1c49cac8e8ede3b8 |
|
VISUAL
wHash
|
83ff70603c3c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
808001383800a000,1e49cac8c0e8ede3 |
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.