Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5426133A600AD2A8D9B91C8F1C4958D9059D345FF3248CBB27491BF7BC5CF129A83AD |
|
CONTENT
ssdeep
|
384:mWSyJqQlVSplccQOzXmfMmUFCovDptpTBP:mWrqQxfBUsqDptpTF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cdcf078fccf0 |
|
VISUAL
aHash
|
efc7c707c7ffffff |
|
VISUAL
dHash
|
9c9d9d1d9d1f0204 |
|
VISUAL
wHash
|
c703030303c3fffe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
9c9d9d1d9d1f0204,dcf033fc68fcfc7f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.