Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC224073A600DD2A8D9B55CCF1C09A89515DC386FB3148CAB1A491FF7BC0DF06A9939D |
|
CONTENT
ssdeep
|
192:hJd3JsdlsKSP3Jx4McnthWeNWbBXVfMmUU8VCoHA:TQlsKOhXVfMmUFCoHA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be31c11ec7e03c99 |
|
VISUAL
aHash
|
1f0f0f879f9fffff |
|
VISUAL
dHash
|
2c1c9c2c30340020 |
|
VISUAL
wHash
|
040404048f8fcdcc |
|
VISUAL
colorHash
|
070010000c2 |
|
VISUAL
cropResistant
|
2c1c9c2c30340020 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.