Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181531F319149243786334AC8B5223B2DF1D3821FCE670E15A7FC57C68BDAE92EE25857 |
|
CONTENT
ssdeep
|
768:bUPberq3DVDIM+pZV5DnwkGqjja58kAI8if4UyO/q61jwPobUDWDhfu+KeAkptHT:bUPHpp58kAI8N7Aq+cKx7NQ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc345563471c5cbc |
|
VISUAL
aHash
|
00cfdfffffffffff |
|
VISUAL
dHash
|
c43c302c0e12342a |
|
VISUAL
wHash
|
00879f9fe7c79b00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c43c302c0e12342a,1169696868695101,4040404040404040 |
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 7228 techniques to evade detection by security scanners and make reverse engineering more difficult.