Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1921D2BB144D22E4DC782FEE9DCB695668EE144F73198C228F5917F9B01DAC342235D |
|
CONTENT
ssdeep
|
384:no3nLWSKzhZLrXYfkqm2Q6b6FyIe4NLf3eAPScbCQWsRfhNQZt23AOsGVBffMmUr:no39KzhZLrXucG4AAPSIPhyZoAOsGVZ6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6cc3c3933a90c7 |
|
VISUAL
aHash
|
c1818181ffffffff |
|
VISUAL
dHash
|
2b27371f2b363b3a |
|
VISUAL
wHash
|
8181818183efdfdf |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
2b27371f2b363b3a,030b0f07060c4627,5352633333333336 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.