Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1578115608055AC336143D1E4B6D4EF4F36D7C305C68A1A59A3F0976D2AE3C8DDFA5298 |
|
CONTENT
ssdeep
|
96:c8zdp2z+AAAHMR0xCvyk+veczbWcF9uiY3I7JAJTBFPwuB:c8Zw+AAAHMWxdlveIWc2jTPz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67f01098999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccd5d8d0d0d0 |
|
VISUAL
wHash
|
3f273f3f3f230000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c988490808080,f184acb6b6ac84f3,0e71710e20000000 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|