Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183030B33F6447936222383D0F646A5D5B2BE591AEF154CA0FE9C0179F3879E84D326AC |
|
CONTENT
ssdeep
|
768:weEY008EUCiW26kuXS5Wvj/J0FC+eEY008EUpWnxsYK9UE3trWww6:HhXnxsYAUei6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d253ecac6d48ba25 |
|
VISUAL
aHash
|
00040400ffffffff |
|
VISUAL
dHash
|
38dcd8d81c383627 |
|
VISUAL
wHash
|
00000400dfffffff |
|
VISUAL
colorHash
|
0be00000000 |
|
VISUAL
cropResistant
|
cacd75ecc880f4d6,3838073e3b0f2b26,c218dcccd858dcd0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)