Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118235B726332B8B843DB91EDF7382E46B2D6988DF8C74554B5C95A8D23C3C816193BB4 |
|
CONTENT
ssdeep
|
768:aL+EsZx8/G8H4RF4YDatSM7BDtLM7Bl7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqG:aL+EsZ/8HSOYDatSM7BDtLM7Bl7UXx+8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8808de5e69e9d4d6 |
|
VISUAL
aHash
|
1f0f0f0100ffffff |
|
VISUAL
dHash
|
f1fdddd3df3c0010 |
|
VISUAL
wHash
|
1d070700009fffff |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
f1f3fdfdd7d3cb9c,f9a994ac25b4a8a9,ba32c84b535d22a2,b8130d0c00000000,f17dfdfdd3dbcfbc |
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.