Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A38A33411935274437C6D530A55B3BE2A7994FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:qSky5NICdLz4NP3+mZY9svblTOCVrw/1St8x7FtiuCa28y2OZL:1dLz4NP/y9svbliCduvZFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aad69c323 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
928cccc2c8ccdc8a |
|
VISUAL
wHash
|
00e4f6702014ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8041a0815c588090,d08cccc2c2c8ccdc |
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.