Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C82D9730110593B1E429AC8B2623B9C9043915FD9F1A9A5A2DF0763B2CDEF27D1993F |
|
CONTENT
ssdeep
|
384:w+oK7yDvMr1FzQG/ZDSU4vVa24/OOoQH9nkOfT/n0k7cZYyxfWZ5rMwvIIxQDisF:w+jyDvMpFzQG/ZDSrvVw/OOoQH9nkObI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf07c638c0de78e0 |
|
VISUAL
aHash
|
3f0f0f0f0f0f9fff |
|
VISUAL
dHash
|
785e5e5e5b3e7800 |
|
VISUAL
wHash
|
0f0f030b0b0f0fff |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
785e5e5e5b3e7800,fef0f6f6d6e6871e |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.