Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155234BB26722B87843DB91EEA7383D56B2D2489DF8C74454F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a9dRQ+EsZx8/G884tDawPM2B2MwgM2B2FCN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:a9dRQ+EsZ/8HtDawPM2BVwgM2BJN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83893c3c366c3c7 |
|
VISUAL
aHash
|
c3838383ffffffff |
|
VISUAL
dHash
|
173737371f1d3519 |
|
VISUAL
wHash
|
81818181c3c7dfff |
|
VISUAL
colorHash
|
060000005c0 |
|
VISUAL
cropResistant
|
173737371f1d3519,56e1734beb33218b,fff3f2fef3f2e6ff |
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.