[Home](https://kellyjonbrazil.github.io/jc/) # jc.parsers.cef jc - JSON Convert CEF string parser This parser conforms to the Microfocus Arcsight CEF specification. This parser will accept a single CEF string or multiple CEF string lines. Any text before "CEF" will be ignored. Syslog and CEF escaped characters (`\\`, `\\"`, `\\]`, `\\|`, `\\=`, `\\%`, `\\#`, `\\n`, and `\\r`) are unescaped. Extended fields, as defined in the CEF specification, are relabeled and the values are converted to their respective types. Extra naive and UTC epoch timestamps are added where appropriate per the CEF specification. A warning message to `STDERR` will be printed if an unparsable line is found unless `--quiet` or `quiet=True` is used. To preserve escaping and original keynames and to prevent type conversions use the `--raw` CLI option or `raw=True` param in the `parse()` function. Usage (cli): $ echo 'CEF:0|Vendor|Product|3.2.0|1|SYSTEM|1|... | jc --cef Usage (module): import jc result = jc.parse('cef', cef_string_output) Schema: See: https://www.microfocus.com/documentation/arcsight/arcsight-smartconnectors-8.3/cef-implementation-standard/Content/CEF/Chapter%201%20What%20is%20CEF.htm > Note: Special characters in key names will be converted to underscores. [ { "deviceVendor": string, "deviceProduct": string, "deviceVersion": string, "deviceEventClassId": string, "deviceEventClassIdNum": integer/null, "name": string, "agentSeverity": string/integer, "agentSeverityString": string, "agentSeverityNum": integer/null, "CEFVersion": integer, string/integer/float, # [0] "_epoch": integer/null, # [1] "_epoch_utc": integer/null, # [2] string, "unparsable": string # [3] } ] [0] Will attempt to convert extended fields to the type specified in the CEF specification. If conversion fails, then the field will remain a string. [1] Naive calculated epoch timestamp [2] Timezone-aware calculated epoch timestamp. (UTC only) This value will be null if a UTC timezone cannot be extracted from the original timestamp string value. [3] This field exists if the CEF line is not parsable. The value is the original syslog line. Examples: $ cat cef.log | jc --cef -p [ { "deviceVendor": "Trend Micro", "deviceProduct": "Deep Security Agent", "deviceVersion": "", "deviceEventClassId": "4000000", "name": "Eicar_test_file", "agentSeverity": 6, "CEFVersion": 0, "dvchost": "hostname", "string": "hello \"world\"!", "start": "Nov 08 2020 12:30:00.111 UTC", "start_epoch": 1604867400, "start_epoch_utc": 1604838600, "Host_ID": 1, "Quarantine": 205, "myDate": "Nov 08 2022 12:30:00.111", "myDate_epoch": 1667939400, "myDate_epoch_utc": null, "myFloat": 3.14, "deviceEventClassIdNum": 4000000, "agentSeverityString": "Medium", "agentSeverityNum": 6 } ] $ cat cef.log | jc --cef -p -r [ { "deviceVendor": "Trend Micro", "deviceProduct": "Deep Security Agent", "deviceVersion": "", "deviceEventClassId": "4000000", "name": "Eicar_test_file", "agentSeverity": "6", "CEFVersion": "0", "cn1": "1", "cn1Label": "Host ID", "dvchost": "hostname", "cn2": "205", "cn2Label": "Quarantine", "string": "hello \\\"world\\\"!", "start": "Nov 08 2020 12:30:00.111 UTC", "deviceCustomDate1": "Nov 08 2022 12:30:00.111", "deviceCustomDate1Label": "myDate", "cfp1": "3.14", "cfp1Label": "myFloat" } ] ### parse ```python def parse(data: str, raw: bool = False, quiet: bool = False) -> List[Dict] ``` Main text parsing function Parameters: data: (string) text data to parse raw: (boolean) unprocessed output if True quiet: (boolean) suppress warning messages if True Returns: List of Dictionaries. Raw or processed structured data. ### Parser Information Compatibility: linux, darwin, cygwin, win32, aix, freebsd Source: [`jc/parsers/cef.py`](https://github.com/kellyjonbrazil/jc/blob/master/jc/parsers/cef.py) Version 1.0 by Kelly Brazil (kellyjonbrazil@gmail.com)