Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BA35733411935274437C6D130A55B3BD2E6999FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:zHkLz4NP/y9svbliCdbgP2FtiuCa28y2O9:7KmAWgP1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c372f53a9c2c9c43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
8cccc0c8cd3fcec2 |
|
VISUAL
wHash
|
40e478602f0767ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
c080810030108080,8cccc0cac8cd3fce |
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)