Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE417669101427B712478A9085A1DE8BF2D1E758C36FAE4092ED916A27EED50CE041A4 |
|
CONTENT
ssdeep
|
48:T0mdsBGySo5XX6As6BA0W6CIbi7LN/tHk:TVdswoI6BAZ6CIbOL/E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecab949b90146bd5 |
|
VISUAL
aHash
|
fff1f0f0f8f0f2f2 |
|
VISUAL
dHash
|
2c03632723230424 |
|
VISUAL
wHash
|
fff1b09090f0f0f0 |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
2c03632723230424,0f6363531527213d,9b0d8dcd5d64487e,7159516103cdec76,073b6f5d1f0f1f4e,02bf00605919696d |
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 14 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)