Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182124F33A600DD29499B96CCF5C09589451DC389FB3148CAB1A091FF7BC4DF0A9A979D |
|
CONTENT
ssdeep
|
192:k+3J+dfkACbiFxcMcnthWeNWbAfffMmUU8VCovBe:efkACJfffMmUFCovBe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331f0ccce0f17e0 |
|
VISUAL
aHash
|
cfcf0f0fffffffff |
|
VISUAL
dHash
|
981a5a5800500000 |
|
VISUAL
wHash
|
40000000fffffffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
981a5a5800500000,0a966a7248b6fa00 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.