Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C4331746846FC3FA1C78AD59172536AB2E28740CE638685BAF0C3F95BDAD5DCF22044 |
|
CONTENT
ssdeep
|
1536:KsIx/mzBdT2w8F2v8BvhUv1Fvylv6jvlUoYGSrNhl6QJ397aF:KQBdSw8F2v8BvhUv1Fvylv6jvlZSrNha |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3bd3f41503127e9 |
|
VISUAL
aHash
|
60ffff7c78606004 |
|
VISUAL
dHash
|
d46f8fdcc8c9c8dc |
|
VISUAL
wHash
|
40ffff7c78606044 |
|
VISUAL
colorHash
|
0e003010000 |
|
VISUAL
cropResistant
|
d4deeb5e5f0f8e9c,c4e7e58dc9c9c1c0,c8d090d1d1d41031,fce4b0e464ec8084,d1d4d4d4d4d4d06a,8edcc0c8c9c98cdc |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.