Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3235B726332B87843DB92DEE7382E45B2D2949DE8C74554F1C99ADD23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:ac+EsZx8/G8CL6DVS8MwBjoSvMwBjk3Uuix+y9dQpUDF1E56ITmHTCd3m6DPqDvW:ac+EsZ/8CmDVS8MwBcSvMwBw3Uxx+y9I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a91e466c0e365 |
|
VISUAL
aHash
|
ff81818181f7ffff |
|
VISUAL
dHash
|
5d79713555150015 |
|
VISUAL
wHash
|
fd8101818181ffff |
|
VISUAL
colorHash
|
0fc10000000 |
|
VISUAL
cropResistant
|
5d79713555150015,6368c6d2e4bcd879,8bc370fe79f0baaa,a2a2944b3351a2a2,a2b2ae331386a282,001d1d1d1d0d9d80,bc3cbbf17136d616 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain