Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6724472B244313E099783C2AB612B6DE3B7C257E1050E199EFC92980BD9E0DED37657 |
|
CONTENT
ssdeep
|
192:cFwN28Y+ip6XIIQ4sEe5Ubuuasr4frR88adp3715LrxGXP6/M+LkWMeX2egGy9+S:hWpwIIDsEepVR88KpL1tEXP0REjyNShX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8262ef559539bb50 |
|
VISUAL
aHash
|
002000037f0000ff |
|
VISUAL
dHash
|
cfc3c7f3f414b406 |
|
VISUAL
wHash
|
00717137ff004cff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
b3f1c8f0a2a00000,0000140016960c1e,cec3c7d7f09494b4 |
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.