Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB2231E1D054ED37475281D9B7F67B2B37A2C348CF02095453F853AA5BCADA0CB225AD |
|
CONTENT
ssdeep
|
192:QfNpzDx2sB8iStGMKxi9M3gMXh9zED+8F:QfbcsB1StGMK0q3go9wD+8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5ca27626f813f3 |
|
VISUAL
aHash
|
001818180000ffff |
|
VISUAL
dHash
|
75b2b2b2616906c0 |
|
VISUAL
wHash
|
9018181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
f282b4551eb2f092,3333a2e9d5d5554a,00000000c000d0d0,55b0b2b2b2b66969 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.