Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDE2953522041E7E651786E4F3A4F739616AD39DD61F9808B3BC02B327CECD4A967398 |
|
CONTENT
ssdeep
|
384:gqh1AXFIBSpYopkUx8pdT4F0wHMIebJBb+/b3Vbsz3uuB9:gqhWFpYREF2IgJN+j3BsDuuB9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e143e41ef1933c9c |
|
VISUAL
aHash
|
c06020000000ffef |
|
VISUAL
dHash
|
82c8ccdc72739616 |
|
VISUAL
wHash
|
e0fc74600001ffff |
|
VISUAL
colorHash
|
321c0000000 |
|
VISUAL
cropResistant
|
6196969696969696,86c8c8ccdc32330f,412d969696969641 |
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.
Pages with identical visual appearance (based on perceptual hash)