Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B96100B1A0445F378242D8C4B2E2AA0BB1C5C683C98B9B0693F587DE1EF7E86CD46251 |
|
CONTENT
ssdeep
|
48:XCTupBacC9BOGM6cEN/w71CblLf/8kcz56NWgN+0zEmJoe0sm:XCTuOb966pN471CpLf/ncz56NrAmJol |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999663399cccc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
300cb2b2b2b20c30 |
|
VISUAL
wHash
|
000038383c3c3c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
300cb2b2b2b20c30 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)