Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159A383A2527C287F096B8AC86619232F75D6C08ED74712D992F9C35817EFCD4A8E17C3 |
|
CONTENT
ssdeep
|
1536:7VGdu0gyQSa16obydREpQ3NHZPWgCr+Q8cd:70duJyZa16oWzN0d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc7c1696171c1e96 |
|
VISUAL
aHash
|
00c3c3c3ffffffff |
|
VISUAL
dHash
|
320f0f0f2f0f360f |
|
VISUAL
wHash
|
00c38181ffc3ffc3 |
|
VISUAL
colorHash
|
07003000010 |
|
VISUAL
cropResistant
|
320f0f0f2f0f360f |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.