Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12463BE78D155A5231273D8C0EC2EAF1D74E6E30AD8C691846BBD16DC2FCBD93BE0611A |
|
CONTENT
ssdeep
|
384:T0mo4QLTTAHvbIGzJpJxohH7gGQFcE0vecU4wgkBqaGg6bsGrsY2Ez+G2AXXshZC:Tp+zXyjRRmi77RRw4Qv4/st |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7ce51b53529a1c6 |
|
VISUAL
aHash
|
0030733327670100 |
|
VISUAL
dHash
|
42e1e76746d7f3c0 |
|
VISUAL
wHash
|
02397fb7bf670300 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
fc97f1c9e2ccf064,595b163c6cf3cf3a,9e7cf4dcb2b2f272,a98968646a70fcbe,42e1e76746d7f3c0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.