Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192A1972791155E5F4083C2F8FBE6B615D09EC245C31EA688B79C43BD79C7CD2D8A1298 |
|
CONTENT
ssdeep
|
48:TF4QUO513eP13j61jwXAdHkvHvQ+3999VcAMc6pGK+tfe3iUd9LF++PvKO2Jq1Iz:TWFsik2IEvHvR9uAMcnifLpC7ATY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc993366 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
100830b2b2300810 |
|
VISUAL
wHash
|
0c0c243c3c2c0000 |
|
VISUAL
colorHash
|
38000018600 |
|
VISUAL
cropResistant
|
aa4d4d3a8c3333b2,100830b2b2300810 |
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)