Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176E2C6319048693F069773E1FBB1A35B62958389EA43471982FDC78C0BEBC94EE075E5 |
|
CONTENT
ssdeep
|
384:wPII2ku8IIIII9AlBMH3h9bUHkiHevBHps8c8JYxwPsWermizSBX9ea4HQ8pW:WIInIIIIIVhFUEiHe5Hpv2xwkWerWAap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69c |
|
VISUAL
aHash
|
00e3f7ef3f3c1818 |
|
VISUAL
dHash
|
87cfcdcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0000c8c4c4c00000,87cfcdcbf1e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)