Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180F29831A100AA3B5193C2C9F352B72FB2E7424ADA470515D3F983AD0FE7D95DA33619 |
|
CONTENT
ssdeep
|
768:Koy5NG5O5dqxvFAIpEQF7sOy2+y9BH4crIe:fQdqxv+IL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c267b9389d4dc6c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc5c4c0cddd00 |
|
VISUAL
wHash
|
40e6f070200cffff |
|
VISUAL
colorHash
|
39001000180 |
|
VISUAL
cropResistant
|
0880800458988000,940ccdc5c1c0cddd |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.