Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17961FEB1A0445F379242D8C4B2E2BA0BB585C647D98B5B0683F587DF1AF7E8ACD46241 |
|
CONTENT
ssdeep
|
48:XCTupBacC9BOGZGg6N/w71CblLf/8kcz56NWgN+0zEmJoe0sm:XCTuOb9+FN471CpLf/ncz56NrAmJol |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999663399cccc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0000b2b2b2b23010 |
|
VISUAL
wHash
|
000018183c3c3c3c |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0000b2b2b2b23010 |
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)