Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131F2EE13B280C52E4EC380FDE94CB656579C5084FB71D9C17AFA863FA692DAC653278C |
|
CONTENT
ssdeep
|
384:Yt6zvHd8hvttwPdsbbVwk5RrpLVfvuCAl+FZ9ukWwbnAfMmUFCoLB:Y0zvHSh1t1bTr7kl+rhqfBUsk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed4ddb9236ac |
|
VISUAL
aHash
|
0000040c0000ffff |
|
VISUAL
dHash
|
98868c8888caca07 |
|
VISUAL
wHash
|
00664e6c4026ffff |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
1fdeceaee6ced060,caca000067730c8e,b4828c9cc888a2ca |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)