Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CD2B731F0102B3F529783C9BB50F76AA3E3D2C9EB86091652F8935E4BD7D50DA1352A |
|
CONTENT
ssdeep
|
768:HASky5NK0W/RU2yxEyd8/at7sOy2+y9BH4cLIe:pomLOl/y7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c742fc38b929c5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
c8ccc4cacc1c8100 |
|
VISUAL
wHash
|
20f67c600600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,c8ccccc8c8ec0c02 |
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.