Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C5177678108DD3B92A0C0D8E570636C5ACD818E97470B59D6ED437D32DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:NEZ6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:NdRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa4d997387d89872 |
|
VISUAL
aHash
|
e0e0c1db8703070f |
|
VISUAL
dHash
|
030307330f1f1f3f |
|
VISUAL
wHash
|
f0e1e1db8387070f |
|
VISUAL
colorHash
|
07000408010 |
|
VISUAL
cropResistant
|
030307330f1f1f3f |
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.