Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1905175638108DD3B9260C0D8E570636C5ACD818E97470B59EAEC477D31DA9FACC2EDC8 |
|
CONTENT
ssdeep
|
48:P4L6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:P4+RdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa498973a6d89d72 |
|
VISUAL
aHash
|
8081011b07070f0f |
|
VISUAL
dHash
|
030307370f1f1f3f |
|
VISUAL
wHash
|
e1c1c39b87070f1f |
|
VISUAL
colorHash
|
07000408010 |
|
VISUAL
cropResistant
|
030307370f1f1f3f |
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.