Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EC2FE70D089A4BB0197D2D1C7345BBE75E38706CB230699E6F0A739BB87D96DC2618C |
|
CONTENT
ssdeep
|
96:x7KgoIXOLzdoIXPrp/fGnE9w8GC0n68WhPTCBK4bY2DENwVHlhxIsgOH1lai14kB:x7/ejpnGt60Utg6sgOK5dIWlO7ycQ1m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f852070b1fec07b9 |
|
VISUAL
aHash
|
00c0c3c3c3c3c300 |
|
VISUAL
dHash
|
728f8ea61a0b970e |
|
VISUAL
wHash
|
1ce3c3d7c3e3c380 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
d8b428a66c726c6c,6e69e8b0d2d4c6e6,80752333332736ca,e8133312121a2242,ad5b58da3af871e3,a65bc82632e0e6c4,728f8ea61a0b970e |
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 140 techniques to evade detection by security scanners and make reverse engineering more difficult.