Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E446933421935260537C6D430B95B3BD2A6DE4FFAA70B010EECD7E72BE9CA0755A11A |
|
CONTENT
ssdeep
|
1536:ZT93IIeZutsEJPjQBq1Wixx2nAGvt8VPB6RxknNucRDgT0Rux20Uyx2UdP38NEfn:vAZ2Lq5ZQ6W2v/zF2f+vn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e848877ff0202ff8 |
|
VISUAL
aHash
|
00100040c000ffff |
|
VISUAL
dHash
|
2971b292914505cc |
|
VISUAL
wHash
|
8038d0d0f880ffff |
|
VISUAL
colorHash
|
01008000c00 |
|
VISUAL
cropResistant
|
a46545baaa535340,3c6ede8ecece8ec7,80a8173b2b150800,114d454505144c4c,0361b29292914d05 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.