Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A36933411935274437C6D530A55B3BD2E69A8FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:nMeXy5NwTYbD0GLz4NP3+mZY9svblTOCVrlXsY0k6EEL:SDBLz4NP/y9svbliCdj0Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f1de380d2963c3 |
|
VISUAL
aHash
|
c0e67620040038fc |
|
VISUAL
dHash
|
0c4cccc6c8cd6360 |
|
VISUAL
wHash
|
c0fef7322c0101ff |
|
VISUAL
colorHash
|
30c00008000 |
|
VISUAL
cropResistant
|
0c4cccc6c8cd6360 |
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.