Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4420232E480A5275243C2C4E7B47B99A3D6C146CB634AE6F2F4830E5BCBD91CD5375A |
|
CONTENT
ssdeep
|
96:5kVON9w1YrkT8ByS3RP1lOqfe1KY8Spvvme3Ou0G+U3YeJrjz977/Vsyy4k+e0DM:eHY/BfkYnoXxhclfh/8b+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cb6936d946a91 |
|
VISUAL
aHash
|
000000000e0e0e0e |
|
VISUAL
dHash
|
9ed0cdd6d8d8dcdc |
|
VISUAL
wHash
|
4640600a7e7e7e7e |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
4199d19692969696,9ed0cdd6d8d8dcdc |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)