Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1556254B8825CBF3BC783E2D4DB797BA7338281D1C52602154AF6D769EBC2D45CE02295 |
|
CONTENT
ssdeep
|
192:2ZtYvMfxApmbpAr0cw1I6aw6A3wVQwIgwGBbwltnCwD1Noi9:QtZim1Ar0cGIlbA3oQRg7JsCs1F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc59f326ea59112e |
|
VISUAL
aHash
|
e0fc18d8000030ff |
|
VISUAL
dHash
|
9030323327e6e40d |
|
VISUAL
wHash
|
e0fe98d800007fff |
|
VISUAL
colorHash
|
02602010000 |
|
VISUAL
cropResistant
|
08c0b83998991913,9497dedfcfcfdfdf,b04ccc151d880c08,10b032b2332776e6,dd4546e1713417d1 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.