Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DF28431A251AE3B44A7D2E5F3A5632F32D2938AC942034593FC83BD0BEBD94FD26554 |
|
CONTENT
ssdeep
|
768:bLarx20DXIRAw0jq9AoAV9AvphCg0uf/bUmaJHMI:bMDXIR4uf/bUmAMI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c63c3ce5949695 |
|
VISUAL
aHash
|
46607e70600c0028 |
|
VISUAL
dHash
|
84caccc4c2b898d9 |
|
VISUAL
wHash
|
4660fefa720e0e39 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
84caccc4c2b898d9 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.