Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171A37933411935274437C6D530A55B3BE2A69D8FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:yxeXy5NWlCbLz4NP3+mZY9svblTOCVrnd+nvyKIwKFtiuCa28y2OZL:T6Lz4NP/y9svbliCdIvIFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc3a9d29c103 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
0c4ccccac8cda398 |
|
VISUAL
wHash
|
80eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,840ccccec8ccc583 |
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.
Pages with identical visual appearance (based on perceptual hash)