Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C2A53171107B3B129782CAB762E71FA2E3834AEB86041652FC83ED47D7D54DEA3529 |
|
CONTENT
ssdeep
|
384:pSkZkvDbKsLCQH1zVSYXA4506xn4q8Tlu+8ja0Jvtt7IYsOy2+y9BH4cCUIe:pSkZkvD7N94z5HkL7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c222bd6dcd4693b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4c8ccc4c0c0cc00 |
|
VISUAL
wHash
|
00006e7c3838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,c492ccccc4c8e0cc |
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)