Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196A36833411935274437C6D530A56B3BE2E6994FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:59YLz4NP/y9svbliCdugoFtWAuCa21X2ZP4:KmAdgL4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479438ad3c65e1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
ccc8ccc0c8c8cc00 |
|
VISUAL
wHash
|
027c64306064ffff |
|
VISUAL
colorHash
|
39000008e00 |
|
VISUAL
cropResistant
|
fffffb8e96dfffff,080000000130b080,dcc9ccccc8d8c8cc |
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)