Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131734623421979274437C6D130BA5B3BD1A6DD9BFAE70A000EECCBF66AF9C90705B159 |
|
CONTENT
ssdeep
|
384:A4k1dOPu+y7fQCstZzUMRr8nXxHD+YjOp4QFSVHFlTCxYrr8Ku:ApdwuUpR4nXF6YjOpSpFlTC6rrm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4aa99ab642e599b |
|
VISUAL
aHash
|
1f7f7f7373777f3e |
|
VISUAL
dHash
|
e4c0c4c5c5c4c0c4 |
|
VISUAL
wHash
|
003f3f3737333f00 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
e4c0c4c5c5c4c0c4,7c7e7e7f5f072d2b |
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 100 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)