Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FA38A33411935274437C6D130A95B3BD2A69D9FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:IMLz4NP/y9svbliCd1eTyFtiuCa28y2O9:XmAD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b8389969c718 |
|
VISUAL
aHash
|
00002020000000ff |
|
VISUAL
dHash
|
0c4ccccaccccc398 |
|
VISUAL
wHash
|
c0eef672042071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,840ccccec8cccdc3 |
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.