Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF63EAAA28516016477740E394BB2B89B3391C2FF51C0591A5B8CBF672F88F5312BF4B |
|
CONTENT
ssdeep
|
1536:V2CC2yfVsaqLbkFwF5DD2xrhf9KbyIUc5VCMWyOloQzZs8oWQbp:s4VQ9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d2f2b6a3d28612f |
|
VISUAL
aHash
|
013f0f1f1f7f1f1f |
|
VISUAL
dHash
|
e3fcdc7c70c0b838 |
|
VISUAL
wHash
|
0107070f1f7f1f0f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
e3fcdc7c70c0b838 |
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 692 techniques to evade detection by security scanners and make reverse engineering more difficult.