CVE

The results are paged, there are two parameters per_page and page to the issues API :

Rules for memory allocation.

• Do not allocate so much RAM that swapping will occur. Swapping is terrible for MySQL/MariaDB performance.
• Do adjust innodb_buffer_pool_size such that most of RAM is in use during normal time and even for spikes in activity. (I often say "set it to 70% of available RAM", but you are asking for more details.)
• Do not bother changing other settings; they add to the complexity of "getting it right".

There are 3 situations (based on innodb_buffer_pool_size and dataset size):

• Tiny dataset -- buffer_pool is bigger than necessary --> wasting some of RAM, but so what; it is not useful for anything else. And it give you some room for growth.
• Medium-sized dataset -- Most activity is done in RAM; the system will run nicely.
• Big dataset -- The system may be I/O-bound. Adding RAM is a costly and brute force solution. However, some software techniques (eg, better indexes) may help, such as this for WordPress and WooCommerce.

You can download the Json with CVE data with this example:

First, examine the first file and find out what sids are commented out:

StandardManager is not addressed by this security vulnerability: it stores all sessions in a single file of an applications temporary directory. If someone has write access to this file, he has probably access to the whole Tomcat installation.

With PersistentManager using FileStore the situation is different: every session is saved in a separate file, according to its JSESSIONID. Using a crafted JSESSIONID (probably by inserting ../../ in it, I didn't test) it is possible to point to any file in the filesystem (cf. patch).

I think if you need to keep track of CVE IDs and their corresponding CPEs you'll need to iterate over whole cve items and extract the bits of data you need (so you'll only do one pass through the file). Not as efficient memory-wise as your original iteration, but if each item in CVE_Items is not too big then it's not a problem:

\xa0 is actually non-breaking space in Latin1 (ISO 8859-1), also chr(160). You should replace it with a space.

Try this:

Regarding your second problem, when you don't know if it is a list or something else, you can just check the type, maybe like this:

To convert a json string into a python dict (or in this case a list of dicts), you can use json.loads. Then, iterate over the list of dicts, look if dict["CVE"] equals your value, and if yes, set it to some variable. If you want to export that variable to a json string which you could write to a file, use json.dumps. Example: