Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CA3DA23422935274437C2C1347A5F3BD2E6995FFAE70E014EDCCBEA6AF9CA0745A119 |
|
CONTENT
ssdeep
|
768:MtpR4nXF6YjOpSpFlTC6rrdeAkdLn3ZhCdX:MtpR4nXBKpSpFl26vUdz/CdX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e46cbb9343cf |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
1cccc87969618626 |
|
VISUAL
wHash
|
00047cbcbc00ffff |
|
VISUAL
colorHash
|
326000000c0 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,0012482636c61616,1e94ccc8796969c7 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.