Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D36079F1308D3BD9AF33D5E7005BD2A18763A3C5849BE2B1DE81281786AD4A73791C |
|
CONTENT
ssdeep
|
1536:jdN/jTVp2Y1rIRnErA5SiTXWzc9+PHmAFPvcB084X:jd5TVp2KIBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed699292926a6e65 |
|
VISUAL
aHash
|
fff8f0b0faffffff |
|
VISUAL
dHash
|
6d92236362e40622 |
|
VISUAL
wHash
|
bcc0000030feffff |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
6d92236362e40622,cc0e1f4d39178f4c |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.