Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189F2933282412116155756D4F632B7AA63A6428DCA430FF6B1FCA36CDECDCF6DEB1248 |
|
CONTENT
ssdeep
|
384:NeeDks4ayqciYLPgJVfbBp9zfGFYDTXGR7:JDks02iIJVFR3XGR7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b06d6d3138cdb392 |
|
VISUAL
aHash
|
c3c3ffcfcfcfffef |
|
VISUAL
dHash
|
86969d9c9d9d7959 |
|
VISUAL
wHash
|
c3c3ff0c040c3c3c |
|
VISUAL
colorHash
|
03c00008000 |
|
VISUAL
cropResistant
|
86969d9c9d9d7959,0000000000000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.