Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186C121335028D51A0EA7D18CEAC0F599529BE35AFA3098D3B1C450AF6FC4EF594D236D |
|
CONTENT
ssdeep
|
96:gkeorskPoakWoTC5aR1sY/fMmORR1E8VCon/oXmod2Gjql:7md/fMmUU8VCojRP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a5528d58b5dac75 |
|
VISUAL
aHash
|
0000003c3c3e0001 |
|
VISUAL
dHash
|
00003469e8f40a09 |
|
VISUAL
wHash
|
f0f0c0fc7e7e0085 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
6c6b98d38e0c7646,5a4a66b526a5b575,00003469e8f40a09 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)