Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115517565C108DD2B9275C0D4E571A32C96C9828993130B88A3EC473C27EB9BADC5FEC8 |
|
CONTENT
ssdeep
|
48:NFsKmfE9LQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:NaKVt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffc588f38ad82262 |
|
VISUAL
aHash
|
f8f0e0f0e0c08081 |
|
VISUAL
dHash
|
01030f120f1e1f3f |
|
VISUAL
wHash
|
f8f0e0f8e1c1c387 |
|
VISUAL
colorHash
|
07201018040 |
|
VISUAL
cropResistant
|
01030f120f1e1f3f |
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.