Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131C2843171406A3771ABC3CAB761E32BA2E2930EDB87085552FC83AD47D7D58DE63429 |
|
CONTENT
ssdeep
|
384:wSkZ2vtSKK1nqLmRHVSYWuHKbdxq4K1v5BujQvIYsOy2+y9BH4cCUIe:wSkZ2vtEzMM2Mrug7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6de54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc8ccc4c8c0ec00 |
|
VISUAL
wHash
|
00002e7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,cc92ccccc8c8c0ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)