Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3241AB063D8D6A5E001D3F897769975326729E9BF02C60883F05F86EAE189DCC95CC7 |
|
CONTENT
ssdeep
|
1536:9hcg5wAtlvfvvT9s0KD4440vfkLwI2w4kWhO7Y2K5rVR8gYz5rVR8gYCnkjne12W:Hcg5wATvfvva80fDp073Ezs1H1x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac49d2ef06832de9 |
|
VISUAL
aHash
|
0000180083ffffff |
|
VISUAL
dHash
|
69f03373332b884c |
|
VISUAL
wHash
|
00001810d3ffffff |
|
VISUAL
colorHash
|
3a400030000 |
|
VISUAL
cropResistant
|
8909c9c9c9094989,2b2b332bc00f4c0c,2368b0b2b3b3b3b3,d44446d9ddb5b5d4,0b5414d4f5144403 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)