Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1224133F600CC2A8AAB558CF2C49649415EC345FB3148CAB1A481FF7BC5DF069A979D |
|
CONTENT
ssdeep
|
192:k63J4Ycuc2chyM5kBJCCVYxhxXMcnthWeNWbnfMmUU8VCouq:rcuc2chyKkaCQxIfMmUFCouq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f00f0fab17a8f0 |
|
VISUAL
aHash
|
00c0c0c0c0400001 |
|
VISUAL
dHash
|
6090909090814001 |
|
VISUAL
wHash
|
40c0c0c0c0c00001 |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
6860b0b0c07171c0,6090909090814001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.