Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD73733262426A3F249345E35359D359E387E205C77B8986EFEC432A27CBDE1EC35168 |
|
CONTENT
ssdeep
|
1536:w3n3WRNlaxlVFq8r8j23KzcOJiq9aScakDx9L0+W0qQLVZuSI0m561/awQClTEz8:UMwqUDCdc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2526cbe96d496b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cccbc8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc230e06,84cbe9d3c0c8dcd4,4561417971690141,00454d7171414541,32954a0a2a024212 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)