Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF8319A43A59F5665AF3439310EF1403B338562B540E4D60A350FCAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:mXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:mXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89a1b6d249e9d6b4 |
|
VISUAL
aHash
|
ff1f1f19181c0000 |
|
VISUAL
dHash
|
dbfdf2f3b3f13030 |
|
VISUAL
wHash
|
ff3f3f39183c0c00 |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
dbfdf5f3f3b1f1b0,fdf0f3b3b1f13c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.