Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD429995A096023F767307D8E7C9AF6FE2A6C10DE7CA6D11A1ED02FF8A59F0069C7051 |
|
CONTENT
ssdeep
|
192:qoF2j6FOjH6OHL5OXySn+nhTnCn+nl9nD/xNuESvVCkBQ0mjPEd:8ro29Yd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd32c0e5b245b6c |
|
VISUAL
aHash
|
00ffffffff938381 |
|
VISUAL
dHash
|
a107074345272627 |
|
VISUAL
wHash
|
00e7fffff7010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8107074365272627,0000d4d0d8d82000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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)