Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A52846132512A7F64978BF1F366B73B62D9864DD837C68682F8C22667C7C82ED12244 |
|
CONTENT
ssdeep
|
192:v6Z+YZnsI6sGjHIjHkeRIdF8l4kynak+s:vc+Ydd+ork308R+s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7cdb839a34b9948 |
|
VISUAL
aHash
|
ff003030200000ff |
|
VISUAL
dHash
|
3a64606860606000 |
|
VISUAL
wHash
|
fff03830303830ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
0002223332220000,45459d918d098a9a,646465d62a2a326b,a080806e268080a2,0000000000000000,0864606860606000 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.