Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EC2DC728040292752A3C3C87671731EE3C3924FCE635B82ABF4835E6FCAD45DD2665A |
|
CONTENT
ssdeep
|
192:PFXCRm7DDGXuGXC/fhGXgvmC4At1jejPjejej6wBktL/JyvK+SkQIj/aoEqyNXIi:t1/+GfilAt7AWL81SkbPyNXIvq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eded125ed232cc42 |
|
VISUAL
aHash
|
9dfbf3f1f0900005 |
|
VISUAL
dHash
|
293223232323cf25 |
|
VISUAL
wHash
|
00fbf3f1f09000ff |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
2932c32323222323,f0e8c9f9b0f8f870,a280822c2c8280a0,0202020202020000,004030c8c8300000,d22323222323cfed |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.