Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150824572A005BE33476342CA8B72674EA3C6A1C6DDE61506F6F9437C9FD6D60EC23624 |
|
CONTENT
ssdeep
|
192:AkFIT++6T68uHn87HaqwAPLtaL5llX+T8sTFxxTQsU8Ya+MNcgM1iJYMCNx2qnsl:AkFITL6rm8vwM0UTTmaqieMC78 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f282692d0f1f17d2 |
|
VISUAL
aHash
|
01e67e2e6400c0c0 |
|
VISUAL
dHash
|
b38c8ccccd429190 |
|
VISUAL
wHash
|
03fe7e7e6e00d8c0 |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
c8c8e5a6e2e583c9,61c1e1929a604869,b38c8ccccd429190 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.