Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE2A5317100773F429782CDB362F72BA2B78389D606055A92FD836D0BE7D50DA7399A |
|
CONTENT
ssdeep
|
768:mS5y5NsGhpSeCNzrtwBdtcWKErzUaf7sOy2+y9BH4c1Ie:SGNftT0f7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
110d4b4bc90c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffefe,0080800078908000,120d4b0b4bcddc32 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)