Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAA23152210C5A96C2F34CD898002A44A286E74FC8315670D6BC5E3F6BD2EA5B79DF7F |
|
CONTENT
ssdeep
|
384:ThKlwOsndrtfr0fr36RJ6wUXbWuwDXdWoF88QE0ODdz8j+14ykTQLhxQ:dKlMdrtfr0frI6D3EA8jL6jekTQzQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
add22d58d2a55a2d |
|
VISUAL
aHash
|
ffffffff00000100 |
|
VISUAL
dHash
|
c48c0e0810030716 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
1e007000000 |
|
VISUAL
cropResistant
|
8ce00c0c300c0c14,b232292b6d656b71,3030001717171706 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.