Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3426133B600DC2A4D9B56CCF6C49A48425ED345FB3148CAA5A481FF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:6S3JkYcocJchYM4QUnQF2xV09XMcnthWeNWbsmofMmUU8VCox:BcocJchYM4n109fmofMmUFCox |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cceccccccc03 |
|
VISUAL
aHash
|
cfc7c74747c7e7ff |
|
VISUAL
dHash
|
1c9c9e9c9c9d8d00 |
|
VISUAL
wHash
|
c74707070707c5fc |
|
VISUAL
colorHash
|
07600000010 |
|
VISUAL
cropResistant
|
1c9c9e9c9c9d8d00 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.