Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165928473620C1EFF2A6F97CDD218F709F253900ADE4685C8FA9DC24CD2D5EA9A66111C |
|
CONTENT
ssdeep
|
384:rHNSA35Y2vSNGGqzo6S+Wv4QzoCS3XlNz/a:nYforilvPmnTi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af95d0c193903d2f |
|
VISUAL
aHash
|
fffb818381818181 |
|
VISUAL
dHash
|
cc23332f4b13332b |
|
VISUAL
wHash
|
ffff8183a1839181 |
|
VISUAL
colorHash
|
0e201018000 |
|
VISUAL
cropResistant
|
cc23332f4b13332b,c1d5f1e9dbd3f3fb,cbcbc9cc91919393,6060f04cd8d0e0c8 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.