Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0A36833411835274437C6D530B55B3BD2A69A5FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:YCrBtlXLz4NP3+mZY9svblTOCVrdVWGbOyKFtiuCa28y2OZL:p9Lz4NP/y9svbliCdtCFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d253d53a9d299d09 |
|
VISUAL
aHash
|
00240000000000ff |
|
VISUAL
dHash
|
08ccc8c8cc8dc3d0 |
|
VISUAL
wHash
|
0cfe70207c6560ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
d280910030308080,18ccccc8d8cd8dc3 |
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.