Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7E271724204793F616342E6D7367B3A23E28381C7866604A6FC87799FDAD59DC3B1E0 |
|
CONTENT
ssdeep
|
768:99svYrIm+44ESiCbdEmQVvzajxbuL5zEZa8/xb3:4D44E6bdEzvrL5o5xD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec92936c685a6e93 |
|
VISUAL
aHash
|
ff7fffd1f191f9ff |
|
VISUAL
dHash
|
e9d8332323233390 |
|
VISUAL
wHash
|
3d3f0f919190f0f8 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
e9d8332323233390,79b4f2e2f292e873 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.