Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143C2C972A110273B02A3C3C9B761BB2EA2D3424DC749191653FD836D0BE7E10BE3756A |
|
CONTENT
ssdeep
|
768:Dp3mm680mKtyzhgQaC7sOy2+y9BH4cLIe:Nmby9gq7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039438bc3cf4e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce0c8c8c800 |
|
VISUAL
wHash
|
067c74302044ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc00c80258988000,d4c9c8ccc0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.