Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DE1BB3054149D3765E389D893B5AB0B7389C396DA1B034A73F8DB1A9FEBD06CD12760 |
|
CONTENT
ssdeep
|
96:3G/KWGzu2o3L5OVohTQbvCLFw6FvplRmEXrAMeP8WQM8BHhFAk4LLG:W/1GzrIFZow1hmk4LLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c74f383398 |
|
VISUAL
aHash
|
00cfcbc3f3e7ffff |
|
VISUAL
dHash
|
6897979707080a00 |
|
VISUAL
wHash
|
00c1c181d1e7e7ff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6897979707080a00,630123195d29a9a9 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)