Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152D3F9B0D3805E3E61538384F3726BEA329D8253CF071A4487F5C676ABC6D9EDD2A584 |
|
CONTENT
ssdeep
|
3072:oYCTwAJrTIChF+HuTVkpTofCi8TtrTC7FHylv/xTKyUCivOijcBXN31B+XoqurPS:7tLfs4s7ua |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92e41c3d2b96e5c6 |
|
VISUAL
aHash
|
0004f66464040e1e |
|
VISUAL
dHash
|
9ecceccd4dcc3c79 |
|
VISUAL
wHash
|
4604f66666661e3f |
|
VISUAL
colorHash
|
30003000180 |
|
VISUAL
cropResistant
|
ce1c58d8d0d0d019,adadccdadbde4e67,7a1cddd47074d614,9ecceccd4dcc3c79 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.