Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167739F35F2406E370012C2C9EEA1635A5361DB8CCA561F4847ACC37B7AFBD69E8162DD |
|
CONTENT
ssdeep
|
1536:m0U3s7CJWb/5SY4CU8h+5Dbg24BQxIq3ziJkapkqbj11Xnc:NU3JWb5zoD9jObjPc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd33c33762c5522 |
|
VISUAL
aHash
|
283c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b3fb |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000000183 |
|
VISUAL
cropResistant
|
931bd6c4e3139b92,f28a86d6aa22ce8c,c9c9e9e1c9c9b3fb,522de4e02348d959,f9f037581a0a1a0a |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)