Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118426954A082013F7A3217CCD6D9AFBEA292C48DC7CA6D2191EE06FF9F56F08594F161 |
|
CONTENT
ssdeep
|
192:/5oF2j6FOjH6OHL5hXySn+nhTnCn+nl9nD/xNuESvVCrDBQGmjPEV:FrH2r+YV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd33c0e5b2c5964 |
|
VISUAL
aHash
|
00ffffffff938381 |
|
VISUAL
dHash
|
a10d074345272627 |
|
VISUAL
wHash
|
00f7e7ffff010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8107074165272627,0000000000000000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)