Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAE25475A21064270393C3D0FF21666DE7D1B305CE924A825AFCCB4DDF8ADE5E86349A |
|
CONTENT
ssdeep
|
384:vzgeehsPhOAf4nAriUsVdAIRuCHSApzC7OBoDw:0oAAqUqH3HrpIOBoDw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d699224bdd3 |
|
VISUAL
aHash
|
032d3e2eee060000 |
|
VISUAL
dHash
|
d669eccc482af47f |
|
VISUAL
wHash
|
5f8f7f3fee060000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
b56c7ca4c4e4c4a3,a48081943cc980a4,f8f8f8f0f0f0f0f0,70c482a0a0a0c0e0,d669eccc482af47f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.