Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E5164678108DD2B9260C0D8E570636C5ACD828E97460B59EAEC477D31DA9FACC2EDC8 |
|
CONTENT
ssdeep
|
48:oE6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:oDRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2cc997336dc8872 |
|
VISUAL
aHash
|
f0e0e1d1e783870f |
|
VISUAL
dHash
|
030307130f151f3e |
|
VISUAL
wHash
|
f0f0e1d9c383870f |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
030307130f151f3e |
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.