Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F4285E1E090DE77475682D5B775BB6F36B5C244CF02094813F8839A5BCADA0CF229AD |
|
CONTENT
ssdeep
|
96:Tkp0zYEn1SAEMbStqRj18v67kFIFdtoF6pOtIFbLGhuXuHGx2XNHFyuXTHGpyXSK:Qp0zYEnvV518ihdyF6UyFb6JpGXrAw8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
beb0b8c6c3a3c383 |
|
VISUAL
aHash
|
ff00002070309f00 |
|
VISUAL
dHash
|
6c3c1e46486030e0 |
|
VISUAL
wHash
|
ff878cf0f0f00f00 |
|
VISUAL
colorHash
|
07000000780 |
|
VISUAL
cropResistant
|
4c3c1a4e686830f0,060616a6cab20642,d0c0d02020202020 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.