Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A802217265049DB70183E3E5E771E72F769AC388CA932682A2F9D74D0FC7CAACC51214 |
|
CONTENT
ssdeep
|
96:WMSI7PzQCvHDwxh1uj1Q8BO4vRl6vecBvlPzMDRJoTO4AEtpwP3w2:WMS69Ps1uY4vRle2RJoTSl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbbb999144646666 |
|
VISUAL
aHash
|
0f0f000000000000 |
|
VISUAL
dHash
|
595b050408000000 |
|
VISUAL
wHash
|
1f1f000f00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0204040384848380,4c4d4d4d300c0c00,595b050408000000 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.