Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA37A33411935274437C6D530A55B3BD2A6DA4FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:cWMLz4NP/y9svbliCdIorFtiuCa28y2O9:ymAl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc389969c70c |
|
VISUAL
aHash
|
00002020000000ff |
|
VISUAL
dHash
|
044ccccaccccc3b8 |
|
VISUAL
wHash
|
c0eef660242079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,d40ccccec4cccdc3 |
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.