Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF5164638108DD2B9260C0D8E570636D5ACD828E97460B59EAEC437D31DA5FADC2EDC8 |
|
CONTENT
ssdeep
|
48:9C6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:9tRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6448d7276c89977 |
|
VISUAL
aHash
|
f1e3e3dfa78f0f1f |
|
VISUAL
dHash
|
010212200c111222 |
|
VISUAL
wHash
|
e0e1c1db87870f0f |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
010212200c111222 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.