Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151127273A600DD2A4D9B55CCF6C08688411ED34AFB3148CAB1A481FF7BC4DF169A939D |
|
CONTENT
ssdeep
|
192:ta3JKdl7xhfxOALXMcnthWeNWbnfMmUU8VCoquM:jl74ALIfMmUFCoquM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c9e38989879c3 |
|
VISUAL
aHash
|
8383c39fc3c3ffff |
|
VISUAL
dHash
|
3b2f273327070000 |
|
VISUAL
wHash
|
81818387c381fffe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
3b2f273327070000 |
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.