Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F70251307102387B523766E2F0A25B0E26178335C7421D1CF7B51BA6BBCDCE58A766B9 |
|
CONTENT
ssdeep
|
192:DetXDb6gSZ+HzBA9/0vErEFt5LRUeLR03LRJ1LRWMALR70MKNqyTzhBeC3L:UX1iUFt5LRUeLR03LRJ1LRWpLR70NtTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d881c33a26767dc |
|
VISUAL
aHash
|
efdfffffff0000ff |
|
VISUAL
dHash
|
0d3072ce195104aa |
|
VISUAL
wHash
|
031f387fdf0000ff |
|
VISUAL
colorHash
|
17000006040 |
|
VISUAL
cropResistant
|
f0c08ecccc8ec071,0000080808080000,0d3072ce195104aa |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)