Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B532570A48B2E3B417357C766B5A71A72A2E207D5471580D2FCD3EB8FABEE5F412018 |
|
CONTENT
ssdeep
|
768:oIIZAveThNQxXY0/arFAkFPlZaBC8w+9twIpYw6l5ftn9LosLVaaHWtazxIA:oIIKeTrQxX5arFRJtnFoWVaaiazxIA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c33c3ccec33938 |
|
VISUAL
aHash
|
0060607070406000 |
|
VISUAL
dHash
|
29d0d9c5e599d029 |
|
VISUAL
wHash
|
0565657577456705 |
|
VISUAL
colorHash
|
38288000400 |
|
VISUAL
cropResistant
|
0823a7d5e2e2296c,55758a122c8a2ded,29d0d9c5e599d029 |
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.