Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6A38A23411975274537C2C0346A5B3BD1A6999FFEF70A414EECCBEA2AF9CA0741B21D |
|
CONTENT
ssdeep
|
768:/mtpR4nXF6YjOpSpFlTC6rrAsL245pRcLK4eX:/mtpR4nXBKpSpFl26vAWRsKFX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9753ec6c399313c4 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
3065687876652636 |
|
VISUAL
wHash
|
b8303c3e1000ffff |
|
VISUAL
colorHash
|
0fc00000080 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,24d92424d6161636,20656d69787a7565 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)