Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B80363374A852C770A73A2D64339270EB0C3D51FCB534AC3A3F457892B8AEA6C95915F |
|
CONTENT
ssdeep
|
768:cII9Gxd1GqJVtBD1M2Z4k3YFHvIggOZg6iZqI/aIE:cII9GxdjJP4kIdvNlqZYI/g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef969b4991e0e249 |
|
VISUAL
aHash
|
ff9fb7f799b1f199 |
|
VISUAL
dHash
|
313b64a473638333 |
|
VISUAL
wHash
|
1d9993f39991f098 |
|
VISUAL
colorHash
|
07403008000 |
|
VISUAL
cropResistant
|
313b64a473638333,92c9446464ce9a75,edc7cdd5564d8dcb,078747a3e1672e9e,e67a5c6ff9270e18,9bcbcc4726881e36,7c3e3d5c6f0f1c4c |
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 206 techniques to evade detection by security scanners and make reverse engineering more difficult.