Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172242AB0B4075A7B0D5381C2B2B55A1B73C7A3C2DFA3160563F4939C9FDAC50DDAA2A4 |
|
CONTENT
ssdeep
|
1536:XDIl7YVvRtGUqf9RPi971fknPxh40w1oE+VBi+iHNLAnLE2:XLrfNXHNLAnLE2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4aa4b6db5165646 |
|
VISUAL
aHash
|
011f7f7767020000 |
|
VISUAL
dHash
|
7333d4dcc656dec9 |
|
VISUAL
wHash
|
03ffff7f77020000 |
|
VISUAL
colorHash
|
38207000000 |
|
VISUAL
cropResistant
|
e6e2e2e2e2e2f8f0,7333d4dcc656dec9 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.