Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C6231F2A45895372672C6E8F3B2B34EF6818489C9D3024AD1E5E35C3BE3D71ED5A211 |
|
CONTENT
ssdeep
|
192:wgiwMnFbOEPGwtdkiSw+w+5wfw9w6Ipw5cTBrpU:mwMFCE/dkiSw+w+5wfw9w6IpGIBVU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e75e9c61615c6698 |
|
VISUAL
aHash
|
809c80c1e3e3ffff |
|
VISUAL
dHash
|
0b302e0b4b0f3024 |
|
VISUAL
wHash
|
809c80c0e1e1ffff |
|
VISUAL
colorHash
|
06007000080 |
|
VISUAL
cropResistant
|
0b302e0b4b0f3024,be7063e460636262,0c3534342434240c |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.