Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11351877B5224C85F222286E1F843F694C49DE30FC6A76C50F72811EA1AD5FE8C0F6567 |
|
CONTENT
ssdeep
|
48:biNRjK2Wlz1rDmyzSEaDmynDhq6NaNdT7mynlYwrYwKW5HsjpQ/FfVF1zaP7L:bMEFhzrwhlqvT7hSdp8HsyzmTL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88706259733df78c |
|
VISUAL
aHash
|
0000ffffffff9b99 |
|
VISUAL
dHash
|
82b296b2b2333333 |
|
VISUAL
wHash
|
000053ffff7f1911 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69632b2b2733333,008292928a008cb2,6527232727254d4d,1151656565656b49,c64e4c155c4c4c4d,29a9296e26364e4a,72525b4b4b5d7d60,9496d6f39251518b,60626b4b6a22dad8 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.