Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FA36733411935274437C6D530A55B3BE2E6895FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:fOYmLz4NP/y9svbliCdAcQp6FtWAuCa2nX2ZP4:GZmAKQpR4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3469433ed323cac |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc8e4c8c8c8cc00 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
39000008e00 |
|
VISUAL
cropResistant
|
ffffdfcdcdcffbff,080000000130b080,dcc9c4ccc8c8c8cc |
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)