Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB234A726722B8B843DB91EEA73C3D56B2D6489DF8C74410F5C95A8D13C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aH+EsZx8/G8A4KDaw0MjBxMwQMjBxlwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:aH+EsZ/8jKDaw0MjBKwQMjBDwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc3c3c661c3c6 |
|
VISUAL
aHash
|
ff818181ffffffff |
|
VISUAL
dHash
|
0f333b3337000a00 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
0f333b3337000a00,ff33dcdcf673f3ff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.