Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD183E4AA3CB63D140F87ACCB6EF682235FA0EDF3170564638E56B10597E6CE946C14 |
|
CONTENT
ssdeep
|
96:y35KFSe0BlTSc/Q04JvN/Un4jFSe0BlTSc/Q04JWatPTOYuFA9ed/WqtuY:dAN3J4JvBAN3J4J/iVW9eJW4uY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333cccc6633 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
100c32b2b2320c10 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
100c32b2b2320c10 |
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 167 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)