Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B463B8604246461AE697E1C0FE32AF4A53858349C3074D6CB7F36927FE8ED74ED396A0 |
|
CONTENT
ssdeep
|
1536:s4AcsK4usrGbSntyVAs4UL2Ndgh6XEi9eeekeee8eeeQeeefeeeZeeepeeefeee3:EqQFo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88a1f2c8fac6caf2 |
|
VISUAL
aHash
|
ff033f10183800fc |
|
VISUAL
dHash
|
e1d7f0f233f1e464 |
|
VISUAL
wHash
|
ff0b3f10103830ff |
|
VISUAL
colorHash
|
00030000200 |
|
VISUAL
cropResistant
|
00016161a901aaae,e0f0f0f0e0e0e0e0,0020242204240480,4c4646da89ccca52,e2f6e6f6d2948480,6464656561e10001,d6d7f0b373f1e464 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.