Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2723133B084812E4E9B40FDEA9DB299A86D9189F730C08268F4813FDB51DEC793576D |
|
CONTENT
ssdeep
|
384:K29XLqPgd68k0TLjFI00NjFYtsNCnuTrQqJAfMmUFCoX:K29Xogd68k0TLBI0oFYts4nuTrBJAfBG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1716e8a1a591d8f |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
888a9a9af86edccc |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1ec00208000 |
|
VISUAL
cropResistant
|
8a9a9a9c608cdccc,9e78e1c3c6c6c0f8,82888a8a9aca9a9a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.