Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1145175638108DD3B9260C0D8E570636D5ACD828E97470B59EAEC437D31DA5FADC2EDC8 |
|
CONTENT
ssdeep
|
48:Vu6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:VRRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82189926768ddd77 |
|
VISUAL
aHash
|
0f0f1f3f277f7efe |
|
VISUAL
dHash
|
fcfcf0e8ece0c0c0 |
|
VISUAL
wHash
|
070f1f1e263c7c78 |
|
VISUAL
colorHash
|
07201008010 |
|
VISUAL
cropResistant
|
fcfcf0e8ece0c0c0 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.