Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4F2D431D056A83F06A7A2D1E6B5B32E62E543CDD903072A42FD874C5BDBC90BD178E9 |
|
CONTENT
ssdeep
|
768:Gg3a0jII9luBTIIIIIodLfSET8xul3asU6iyaRWQAFsyn:Gg3a0jII9aIIIIIodWET8xul3aFCaWQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3711c9c3963c6 |
|
VISUAL
aHash
|
00e7e7ff7f181810 |
|
VISUAL
dHash
|
86cdcbb3e5f0f0f0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706168640000,86cdcbb3e5f0f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)