Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A35733411935274437C6D130A95B3BD2A79D5FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:ISvy5N0CK3w2Lz4NP3+mZY9svblTOCVr6Ip04kxFtiuCa28y2OZL:2QtLz4NP/y9svbliCd+FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f53a99399c63 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
98ccc0c8cde7ceca |
|
VISUAL
wHash
|
40f47820273763ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
808081103000a080,98ccc0c2c8cd67ce |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.