Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A38A33411835274437C6D530A55B3BE2A69E5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:U7hLLz4NP/y9svbliCdXuqM9o3WFtiuCa28y2O9:6hmA3YV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5c3c16c966c |
|
VISUAL
aHash
|
ff8f838fdfdfd1fa |
|
VISUAL
dHash
|
63393735353533b2 |
|
VISUAL
wHash
|
b98d818d9d8981fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
63393735353533b2,b1353e1a5b6d0e6a |
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)