Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE2B530A158693F099BA2D1FB75A35BA2C74389DD03431A42FDCB4D1FDAC82ED065DA |
|
CONTENT
ssdeep
|
384:tYwsLveIIokKIIIII9OlBmm2JWbq+O264/dnJIE3WQvpW:awsLveIIsIIIIIQEW2d2b/l8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3971c69c |
|
VISUAL
aHash
|
00e1f7ef7f3c1818 |
|
VISUAL
dHash
|
c7c7cfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e0f7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,0009c4d4c4400000,c7c7cfdbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)