Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131C297382242ABFF41C783F4A369972EE1D8C759D937DA5EB3E942562BC7C018D81391 |
|
CONTENT
ssdeep
|
768:Vp9qrWQk5sAeXZDLnKr+LcLmLjdLFLFLYLqwfCpMhsDe1wqagkzBKj1jbuMPqHs+:YsxWDKr+oq15h0Gw6Stbtv+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af0d16b2c84de1f2 |
|
VISUAL
aHash
|
bf0f19b9ffe7bf81 |
|
VISUAL
dHash
|
717a73730c0e5355 |
|
VISUAL
wHash
|
bd000939ffe79381 |
|
VISUAL
colorHash
|
07003000440 |
|
VISUAL
cropResistant
|
717a73730c0e5355 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.