Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F4175615021893B9556CADCA7F9AB0631D1C008D7930A04B7FCA7AD27EED8BFD17160 |
|
CONTENT
ssdeep
|
48:nIYRwios5svWcnlDVeSZ2XMz6Cn1SNI6s+HiSguM:n5jhcW6LdgNZCSgT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
913b48193b775e19 |
|
VISUAL
aHash
|
00ff7e667e7e7e7e |
|
VISUAL
dHash
|
3372ccccd4d4d6d0 |
|
VISUAL
wHash
|
00187e666e767a3e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3372ccccd4d4d6d0,52313333333333b1 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)