Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E8298947082503F357393C863EF5F2FB391885CCBD7890191E8A2BB5EA6E4C849F665 |
|
CONTENT
ssdeep
|
384:crE2dYQaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:crlE2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd33c0e5b245b64 |
|
VISUAL
aHash
|
00ffffffff938381 |
|
VISUAL
dHash
|
a107074345272627 |
|
VISUAL
wHash
|
00f7e7ffff010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8107054365272627,0000c0d0d0c02000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)