Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D651F17040ACEC67A782C6D0BAF99B1A7385C355CB034B0593F0838D1DDAD86CC9A3B9 |
|
CONTENT
ssdeep
|
48:eaMK4sEyBMic4mLxWYMdZ3f/fgTvQbgefUVbqn9kL:D1EGc4mLxWtR/oesw9s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131c6cf99336465 |
|
VISUAL
aHash
|
ffe3c3cfdfffffff |
|
VISUAL
dHash
|
20069e9990780c00 |
|
VISUAL
wHash
|
0000000cdcfcfcfc |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
20069e9990780c00,00cb0b1b0b81c301 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)