Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A063099A6451602A4B3340E344BB2B8AB379582FF52905D1A5BCCBE573EC8B13137F5B |
|
CONTENT
ssdeep
|
768:8yWuZPWM9yXs/D55uF/uL11yUbcMX8UnUdDT1/sLxusEtCv19ue1T/EHKGQZ965L:G7oeWv7yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3acdc24a6dc2c1 |
|
VISUAL
aHash
|
898f8381dffff3fb |
|
VISUAL
dHash
|
333b371f1b161616 |
|
VISUAL
wHash
|
8183818183fbebfb |
|
VISUAL
colorHash
|
06c00018000 |
|
VISUAL
cropResistant
|
333b371f1b161616,53e3e1b97cfeff3f,fcf3fdfdd7dbbfbc,5f4e537355230fcc |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.