Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190226033F600DD2A499B968CF1C49588816DD349FB3148C6B1A491FF7BC0DF169AA3AD |
|
CONTENT
ssdeep
|
192:CHG6sdnrqhxfrxBDMcnthWeNWbRYVfMmUU8VCoAy:Cm6QnrQ4YVfMmUFCoAy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb0bb4a41f1ef0f0 |
|
VISUAL
aHash
|
3f78f818f8f9ffff |
|
VISUAL
dHash
|
60e3e36302030002 |
|
VISUAL
wHash
|
1f18181808080f0e |
|
VISUAL
colorHash
|
07002030000 |
|
VISUAL
cropResistant
|
60e3e36302030002 |
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.