Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA37A33411935274437C6D530A95B3BD2A69D8FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:i4eXy5NufaVXLz4NP3+mZY9svblTOCVrh6wOe7FtiuCa28y2OZL:XXLz4NP/y9svbliCdTOMFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a912dc503 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
0c4cc4cacccde398 |
|
VISUAL
wHash
|
c0eefe30240079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cccc6d8ccc5e3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.