Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131234A726732B8B843DB91DEE7382E55B2D2988DF8C74554B1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8R2294cDawfMjBQwHMjBpwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:aV+EsZ/8p2cDawfMjBQwHMjBpwcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3bc0c2c2c43bc3 |
|
VISUAL
aHash
|
ff8f8f8f8f8f9fff |
|
VISUAL
dHash
|
8d391e1f1b1b3800 |
|
VISUAL
wHash
|
fc0f0301050f8fff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
8d391e1f1b1b3800,4588038cdc2a9046 |
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.