Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BA3EE23421925274437C2C1346A5B3BD1B6D95FFAE70A010EECCBFA2BF9CA0746B559 |
|
CONTENT
ssdeep
|
768:8hUqtpR4nXF6YjOpSpFlTC6rrWs7FotBv1sduBRiQpKlrySG:8hxtpR4nXBKpSpFl26vTF8hGyoQYJySG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9210e96a7eeccd43 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
9cdccc2c2ccc002b |
|
VISUAL
wHash
|
0004068606ffffff |
|
VISUAL
colorHash
|
0b200000c40 |
|
VISUAL
cropResistant
|
4d50544c112020c0,00004020a0400000,8000618181410080,00204181a1014180,9a9216a25a1264d2,cc000956572b2b2b,9c9cdcccbc2c2cec |
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.