Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE254733421935260537C6D430A99B37D2A6DE5FFAA70B010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:ZiHIqrVuMJ6QO6CTzu20g0XG/kq4dCpaeflrGwyAqiBqIlO44OSWz:Zi3gpdz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3dcbce352263943 |
|
VISUAL
aHash
|
ffff002060737700 |
|
VISUAL
dHash
|
e92af7c9cbcbcfcd |
|
VISUAL
wHash
|
ffff002071737700 |
|
VISUAL
colorHash
|
02002400200 |
|
VISUAL
cropResistant
|
00ddf7c9cbcbcfcd,0802c9c92ac9c936,f25a32b0b2b3bc42,1643436363733266 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.