Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E234A726732B86843DB92EEB7382D46B2D2589DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aCUuP+EsZx8/G8Y4LDatrDMRBpRtrPMRBprUcix+y9dQpUDF1E56ITmHDLBABW82:aY+EsZ/8LLDatPMRBDtDMRB5UXx+y9dD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f2f90d0c0e42b |
|
VISUAL
aHash
|
010081ffffffffff |
|
VISUAL
dHash
|
71716d00371f3135 |
|
VISUAL
wHash
|
000000ffc7c3ffdf |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
71716d00371f3135,fff3b3f969f9f7ff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.