Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DD2A6735158187F316BC7D8F9187F46B08B5609CB4A4AC0F2E982AE97C0F16AE7234D |
|
CONTENT
ssdeep
|
384:OajvMQyiBRTsyjnuHIbAxBvlfGgBiW3GBd2dD20rfOQ3SoZb:9jtRTsHHIktZBiWWBd2VH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993333cc66999933 |
|
VISUAL
aHash
|
1808181818181800 |
|
VISUAL
dHash
|
323232b2b0b2b068 |
|
VISUAL
wHash
|
1c381c1c3c3c3cff |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
10cb31234d4c0d9d,323232b2b0b2b068 |
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 934 techniques to evade detection by security scanners and make reverse engineering more difficult.