Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD238331D010A93741A385D9A676975F77E3838ACBA30B84A3F8C39D9FDAC44CD2B564 |
|
CONTENT
ssdeep
|
768:G1SBi1KPKF/FpyCjylK2EU9IOZuagQUqI3ImupkS20gIYLQICWpIkPksuuVIyIhC:TBi1KPKJrjylK2E6IOZuagHqI3ImJS2r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d1365baecc2e512 |
|
VISUAL
aHash
|
ff0000fffffffffb |
|
VISUAL
dHash
|
2f5ada0532322d82 |
|
VISUAL
wHash
|
000000ff9fdf9ff2 |
|
VISUAL
colorHash
|
06000600080 |
|
VISUAL
cropResistant
|
0c002f2f032c6a1a,dac5283030232c22,00020d1404040204,5a5a5a58585a9aca |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.