Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D041202050669C2FE152F2D1A5A59E1AF6D7D284EB430B0103F0D36C1FEDD71C9264E7 |
|
CONTENT
ssdeep
|
48:V7Fy3tk9Uvm6ekTpn6QXkTHssERPzJW1nG/H8x:i9kk/pZ90Gw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8c2233997376ce |
|
VISUAL
aHash
|
1818181818000808 |
|
VISUAL
dHash
|
b1b121b2320933b1 |
|
VISUAL
wHash
|
193d3cf8189938dd |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0000000c4c040000,b1b121b2320933b1 |
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 158 techniques to evade detection by security scanners and make reverse engineering more difficult.