JMP Security Notice: CVE-2026-109618 and CVE-2026-109619
JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.
Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.
We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.
JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.
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I would like to have new column property (or modification to existing one) which would allow me setting upper/lower limits and then all the values outside those limits would be treated as missing values.
I have situations where I have hundreds of measurement columns. In some rows single value might be a failed measurement and to easily exclude it from analysis I have two options:
Exclude whole row, but this will make me loose measurement data from all the good measurements also
Stack the data and handle those situations row by row exclusion. This will make it much more difficult to use some of the JMP platforms, column switcher, data filters and so on.
My suggestion is to add column property which I could use to "exclude" (treat as missing) those values from single column. This way I could fairly easily loop over the data and set my limits. Maybe setting this column property could also be added to Explore Outliers platform.
Hi @jthi, the developer reminded me that you can use the Range Check column property for this. "If you set Range Check on a column, it will turn values outside the range into missing. Unlike the proposed property, this will actually change the values. But since they're failed measurements anyway, would it be sufficient?"
Failed measurements was just an example. More realistic example (for my purposes) would be outliers which I would like to temporarily exclude from wide formatted data. Range Check would work fine if it didn't modify the values in the table, that is a feature I do not want (not a problem with failed measurements, but otherwise it would be).