Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D22763044C56A3702D393D1A7A3AB1BA3E092C1E56BC68DD3FA83499FCDE41DD66718 |
|
CONTENT
ssdeep
|
192:744onKkictIVG1m72js1kqiDy3u6Sqkdnx+3JPZonS:744o7iciVXyjs1eDaPSLnI3JPuS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93726c653b92926d |
|
VISUAL
aHash
|
04002e2e0e2e2000 |
|
VISUAL
dHash
|
dcc3dcd8d8d8c4c7 |
|
VISUAL
wHash
|
44303e3e3e7e7f00 |
|
VISUAL
colorHash
|
00006000000 |
|
VISUAL
cropResistant
|
3f3d8e86af8c0101,b1b9b98f0e444121,dcc3dcd8d8d8c4c7 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.