Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BF1853910181CB71577C8D8A2A6370A73A2CA2AD7471D457AFCC39C27CAFA7AC5136D |
|
CONTENT
ssdeep
|
96:HRtbJIaZHbTFh7xIsMmq3QBnGnSv3YEGw8RI885jR5CEoi4+Jmq5NXm4DCZc+LXM:HRtNI4bBxxIrVO1vOOsWt0I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7238a890d3f27a7 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
c1880d1000000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
41d08088314d8c10,0000000000000000,0105054545454585,0000081010100000,5050105050904040 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.