Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100424850B4D6023F763357C8E7D9AFAEA292C41DC3C7AD11A1ED42FB8E96F04598B121 |
|
CONTENT
ssdeep
|
192:foF2j6FOjH6OHL53XySn+nhTnCn+nl9nD/xNuESvVCdBQRmjPEm:7rl2jYm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd32c0e5b2c5b64 |
|
VISUAL
aHash
|
00ffffffff938381 |
|
VISUAL
dHash
|
a10d054345272627 |
|
VISUAL
wHash
|
00f7f7fff7010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8105454265272627,0000000000000000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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.