Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E2843562481DBEE5478BA4F2617739A1FFC38ACB1B910CF5BC02A1A7C7C48DD66294 |
|
CONTENT
ssdeep
|
384:ohK894eH7kFZTgrsEoBAYKN+kJMujeqMt5FsTeqkYkWEvhxfw71DBALMmwWu:ohwWJMuI2yvhm719MMtWu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9933642633cece |
|
VISUAL
aHash
|
00183c181810003c |
|
VISUAL
dHash
|
15b27170b0b00971 |
|
VISUAL
wHash
|
01183c3c3c10ffff |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
15b27170b0b00971 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.