Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7510437E53C4D090391A5D2EA9D31DCC786166E92A1DBC455E082CCAFF9FB7447B244 |
|
CONTENT
ssdeep
|
48:t4WnFnD0tRrxdmODBRrxdmwNDcRrxdmWTZTPg5ygU5+u/1xgLlAYHgTtgZg31gLC:t4sEJxdJxjiJx5TPg5ygY/dxgLltgTtR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed2992366e6b092d |
|
VISUAL
aHash
|
01effbb1f3ffffff |
|
VISUAL
dHash
|
9b18936367172b00 |
|
VISUAL
wHash
|
01c78181a183ffff |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
9b18936367172b00,017686d6f4863601,468f1b255b370e9d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)