Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153A3CC23811975174437C2D034BA5B3BD1A7C95FFAE70E014EDC8BFA6AF9CA0745A229 |
|
CONTENT
ssdeep
|
768:rstpR4nXF6YjOpSpFlTC6rruklAbjl0dX:rstpR4nXBKpSpFl26vvl8jl0dX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6c9a13c7ed |
|
VISUAL
aHash
|
00002c0c04003fff |
|
VISUAL
dHash
|
0eccc9d969666426 |
|
VISUAL
wHash
|
00243d2c3c30ffff |
|
VISUAL
colorHash
|
39402000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,601006c826261898,2ecde8c959696464 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.