Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB31131120209A2B318BDEECF7E9A71F26438945CEC32700E3E593AD29DDC67E945781 |
|
CONTENT
ssdeep
|
24:hR/COODpAecuDfuHW3NtfllZmmCZwnelgZ1NOyc8vKHgD/pLm:TCp1cC+W1l8NZwsgZ1pzYz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a9a6366cc99cc66 |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6969717171716969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
33001000006 |
|
VISUAL
cropResistant
|
e2b89ae2b8a382b8,6969717171716969 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.