Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17422263D5360EC26B1D68BEA6775936F62A5C24CE653130316F2AB1F2BC3D82CE2150C |
|
CONTENT
ssdeep
|
192:XSNMJUkx5pnfnkvLYNcNfnkJ25fnkNiJfnkM7afnkUDZfnklFBNinkDHdxfnkveG:XSGJUq5umUK7frzqS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5669a9a65659a98 |
|
VISUAL
aHash
|
e7e7e3c3e3ffc3fb |
|
VISUAL
dHash
|
0e0806060f0a9616 |
|
VISUAL
wHash
|
83e7c3c381c7c3c3 |
|
VISUAL
colorHash
|
07601000080 |
|
VISUAL
cropResistant
|
0e0806060f0a9616,98d8b6dac8d2c2c2,e6a4a6a4acaccc33 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)