Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C92D7622290176F1567C3EDB6A2F751A0A8C61ED173C2A4B7BE97F513CBCC2D351A80 |
|
CONTENT
ssdeep
|
192:aPGNHeopkqtMyIvQVd9WV9KCnPc4gEMfkSoqaA1IjywAcQSyUZxBcFL/W:kGNHeopkqtMyIvGXCnPYLkA22NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f149fc8b538a988b |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
2b8a92d4c2360038 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
0a180000000 |
|
VISUAL
cropResistant
|
042b6b2b2b6b0002,002626800ac11c3e,93838a9034c4d2b0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.