Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5A36A33411935274437C6D530B95B3BE2A68D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:oBLz4NP/y9svbliCdwH/ixFtWAuCa2xX2ZP4:ymAZH/Z4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479438ad3865e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
d8c8ccc8c8c8cc00 |
|
VISUAL
wHash
|
007c74306064ffff |
|
VISUAL
colorHash
|
39000008e00 |
|
VISUAL
cropResistant
|
ffffdf8e869fffff,080000000130b080,dcc8ccccc8c8c8cc |
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)