Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E00230F1D080DD3B475381C9A7B56B0B7691C349CB070A8593F8C3ABABDAC60CE2159D |
|
CONTENT
ssdeep
|
192:QtS+5S+MS+pS+zAzYBr98iJFK7aTXfsnyYMWTS+b3eTFweUVPYMtLb:QPjOTKo91Js7aTvsnLMWdb3e5DUmMtLb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93c564747383c3c |
|
VISUAL
aHash
|
000f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1898ba3b5a1c1818 |
|
VISUAL
wHash
|
000f1f1f0f0f0f0f |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
1898ba3b5a1c1818 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.