Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1426297B09049953F1263C6D9B7B2A25AF7848089C9C6498EC1F9E39C2FE3D71ED1A314 |
|
CONTENT
ssdeep
|
384:ITd/FCitHRV5GC1bJs9pTd2Tdr1TdYTdwLTdmZeVp+oIIBBU:Ih9gyOh2hr1hYhChmiFU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e35e9c64237b6984 |
|
VISUAL
aHash
|
809e80c1e3e3ffff |
|
VISUAL
dHash
|
1b340a0b4f4b0a30 |
|
VISUAL
wHash
|
809c80c0e1e1ffff |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
1b340a0b4f4b0a30,d4d4d0e6e4bc96d4,70b0b138999b4bf8 |
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.