Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBD3B53139419C21509F42EFA217171D61D1D7C8D25236E8B9F183B86BF5CE8FBE62A8 |
|
CONTENT
ssdeep
|
1536:2ylEcgJaIPmmqgzSyzTodLXpzAcqUSKmfNpAZjBfzSF6xHIPmmYgzSyLTSR5Xpzq:TcbGTDlg59STOTT7r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1d59bc1c649e13e |
|
VISUAL
aHash
|
7e7c0060606000fd |
|
VISUAL
dHash
|
e0d818c0c4d11309 |
|
VISUAL
wHash
|
7e6c40f0f0e088ff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
c20191c9c9910186,5b44a4368de4cbcb,84a2802626aa8086,0103030b01000000,e0d818c0c4d11329 |
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 1131 techniques to evade detection by security scanners and make reverse engineering more difficult.