Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A5464E4E130A53B0AABC1D025B57BB773D0B15ECE82854056FC93A95BA7CD5FE11E08 |
|
CONTENT
ssdeep
|
1536:lks+COMbKO+BuM4jkLPkqkTk91wn1k5WkEFIkkB:l+COGKO/gX1pU8B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e73e7985ee12d00 |
|
VISUAL
aHash
|
e71f001c1c1fff97 |
|
VISUAL
dHash
|
2c79ea70b1b60875 |
|
VISUAL
wHash
|
861f001c1c1fff97 |
|
VISUAL
colorHash
|
06002010040 |
|
VISUAL
cropResistant
|
2c79ea70b1368875,009224b692b52492,e3ffefbf6f0982b0,63769c9a8ea66867,ff6fe86c6c6b63ab |
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 215 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)