Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DE2D73292002E3F5193C3CAB722F72EB2E38249CB4A151553F943AD6BE6E90DD17596 |
|
CONTENT
ssdeep
|
384:+Ly5NrvE2ukcAeq/cVmkGJvF5MRksMr8hWKNm3PeUH+IYsOy2+y9BH4cUUIe:+Ly5Nrv72yfeH7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36dfc12ed12c58c |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
0c47c9c9c848ec00 |
|
VISUAL
wHash
|
00e17d20203cffff |
|
VISUAL
colorHash
|
39c00008200 |
|
VISUAL
cropResistant
|
00300c4d4d300400,4c00880258988000,4c47c1c9c9e8c8ec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.