Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188326033B600DD298D9B56CCF6C09A89511DD345FB3148CAB2A490BFBBC4DF069993AD |
|
CONTENT
ssdeep
|
192:tmvw3JYd3agbZMxLMcnthWeNWbMgdBA4fMmUU8VCoMhfvHOur:S3/bcgdBA4fMmUFCo0N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c03c1e1e7f8e187 |
|
VISUAL
aHash
|
1f1f1f1f1f1f1f1f |
|
VISUAL
dHash
|
3cbcb43c2cb43434 |
|
VISUAL
wHash
|
1f070707071f1f1f |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
3cbcb43c2cb43434,b139785938395bd8,33f0e8276730a196 |
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.