Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192A3CE23426975274537C3C0307A5B3BD1A69A8FFAE709015EECC7F62AF9C90B41A12D |
|
CONTENT
ssdeep
|
768:tk4tpR4nXF6YjOpSpFlTC6rrWvmBgSdIHIuFPLa2Oc:7tpR4nXBKpSpFl26vik8ISPqc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d03d3176f2d |
|
VISUAL
aHash
|
000f0f3e2e0f01ff |
|
VISUAL
dHash
|
dcbf7cdcdcbcb700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd37fcdcdcb9f700,dcbd7cdcdcdcbb77,d951cb92232367d5,1e272181838e9c92,68000032320c11d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.