Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0235B726332B4B843DB91EEEB382D46B2D2988DF8C74554B5C95A8D13C3C816197BF4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G8gl4hDawNMZBIwZMZBxqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAzE:as+EsZ/8guhDawNMZBIwZMZBcN2/y9dZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd0b4b59427ca4b |
|
VISUAL
aHash
|
fff9f99999f931ff |
|
VISUAL
dHash
|
cc9381313b6363d9 |
|
VISUAL
wHash
|
fff9f808000931fd |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc9381313b6363d9,6b0703706f37ce4d,418028b2b2320811 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.