Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D235B726332B8B843DB91EEE7382D05B2D2589DF8C74554B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aj+EsZx8/G8ME4VDawzMLB/w4MLB9Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:aj+EsZ/8M/VDawzMLB/w4MLB9UXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc192d22e916fc4 |
|
VISUAL
aHash
|
fffbc383f3f3ff00 |
|
VISUAL
dHash
|
0912123236332061 |
|
VISUAL
wHash
|
ffe3838181d1ff00 |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
0912123236332061,13339b9d93ae87d5,202060606060e0e0 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)