Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E932E13D1F31206252E3EA9E052FB499593F71F87E05BE4547142B293C3E6E32B7A98 |
|
CONTENT
ssdeep
|
1536:oTVYCLRJAER7709IOgUt71VwVS4KNokde1:o6ORJAER771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c3c7c33c3896 |
|
VISUAL
aHash
|
fd8f8f8f9f9f9fbf |
|
VISUAL
dHash
|
0931383830343838 |
|
VISUAL
wHash
|
01090f0f9f8f8f8f |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
0931383830343838,0000a5da4aca24b5,90b22c8020000000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.