Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E274703D43A819319F11CFD227160EA2C1DBC8E6637BD5A8F0926C5AF9DA0FBE2554 |
|
CONTENT
ssdeep
|
384:jww+ygFKIZ7qfMAhCsOaZqyZ4444444444444444444o1inpfETREH:cw+F9a4444444444444444444L9EFEH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9216ed6de21d9616 |
|
VISUAL
aHash
|
00000e04640000ff |
|
VISUAL
dHash
|
86881c8ccc1c1a0d |
|
VISUAL
wHash
|
02000eeefe0f0eff |
|
VISUAL
colorHash
|
300500000c0 |
|
VISUAL
cropResistant
|
a9b291697a506667,0000a20c4d4d0c00,8680cc1c8ccc1880 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.