Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C111779010C82A0AA7A68CF7C2F58C92A6D257F73095D7B1D060AF2EC0EF59566329 |
|
CONTENT
ssdeep
|
96:47BgXr7SXr7OC+Sx0TR1s7WfMmORR1E8VCon733EGB8osl:uSUzYMWfMmUU8VCoS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92f46dcd9a922ce4 |
|
VISUAL
aHash
|
f940e64e6c006e01 |
|
VISUAL
dHash
|
03868c8ca8c2ca01 |
|
VISUAL
wHash
|
fb62e66c7c00fe01 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
1fdfceaee6ced060,03868c8ca8c2ca01 |
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)