Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A36933415935274437C6D530A55B3BE2A69A4FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:CLLz4NP/y9svbliCdnhM17RFtiuCa28y2O9:WmAwiC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a9949e543 |
|
VISUAL
aHash
|
00002000000010ff |
|
VISUAL
dHash
|
1c0c4849cdcf61f0 |
|
VISUAL
wHash
|
00c4e0203f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2c4848c9cd4f71 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)