Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12363FB962455702A076380D3947B2B4AB37D1C2FF92905E1A5B8CBF572ACCB4316BF4B |
|
CONTENT
ssdeep
|
768:ryWuP/syWuQLW5D8n+nPfFSI/uC/ZKzs119XMnX8U89wLIqXfof8UcrLKajGxt1y:9syOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c68af1a198559d5e |
|
VISUAL
aHash
|
ff643030111302ff |
|
VISUAL
dHash
|
eccd646565662e6c |
|
VISUAL
wHash
|
ff7430301113a2ff |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
b8cd64646567662c,a4844954549bb322,65656766264e6c6c,94959852326a3535,cd64646567660e6c,e3c1432100008081,23c393b3c7119509 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.