Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDF1DDF1C014ED36436396D9B7B56B1F77D2C389CF020A4453F8936B6BCACA0DA22599 |
|
CONTENT
ssdeep
|
96:Tkf+1DtSTBEWhUSPRr8v67/vOSF/2dlvJX6mHlzZXa4/AlAYcu7mSTkR:Qf+1DcVB8iLXmq4zu7Dm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcbc63c363348b43 |
|
VISUAL
aHash
|
c3c3c3c3ffff0000 |
|
VISUAL
dHash
|
0e9696960e000400 |
|
VISUAL
wHash
|
c3c3c3c3ffff0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0e969696960e7106,9595733696a5859a,82a2a2a2a2a2a282,3872e2a2aaa2a282,a484e46060c08407,8e8c31b130f0f006,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.