Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6234A726332B87843CB92EEF7382956B2D6589DE8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8v43DatMM7BBtBM7B/7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:au+EsZ/8w3DatMM7BBtBM7B/7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee66959dc0d29895 |
|
VISUAL
aHash
|
ff8181a1a181ffff |
|
VISUAL
dHash
|
6d4f6d4d47716900 |
|
VISUAL
wHash
|
ff8181a18181b9ff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4f6d4d47716900,ce8c6c6cbebeb260,40d2d29bafc6dac4,ecf1f1517d4c8806,fffff7f5cefcdfdf |
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.
Pages with identical visual appearance (based on perceptual hash)