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authorRoss Burton <ross.burton@intel.com>2019-12-08 20:35:57 +0200
committerRichard Purdie <richard.purdie@linuxfoundation.org>2019-12-16 23:11:10 +0000
commit962cbc60d73c91b4d355a32327295fa2e1397dd9 (patch)
treed9ddf63f5a4eb5ebd9859eee4b5bfd69ff53e337
parent51553d9da2ada4a912110d5ecd4b4bc5d020f80f (diff)
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cve-check: fetch CVE data once at a time instead of in a single call
This code used to construct a single SQL statement that fetched the NVD data for every CVE requested. For recipes such as the kernel where there are over 2000 CVEs to report this can hit the variable count limit and the query fails with "sqlite3.OperationalError: too many SQL variables". The default limit is 999 variables, but some distributions such as Debian set the default to 250000. As the NVD table has an index on the ID column, whilst requesting the data CVE-by-CVE is five times slower when working with 2000 CVEs the absolute time different is insignificant: 0.05s verses 0.01s on my machine. (From OE-Core rev: 53d0cc1e9b7190fa66d7ff1c59518f91b0128d99) (From OE-Core rev: b52d6340acdad27d41caf057b78f181297a9a75e) Signed-off-by: Ross Burton <ross.burton@intel.com> Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org> Signed-off-by: Armin Kuster <akuster808@gmail.com> Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
-rw-r--r--meta/classes/cve-check.bbclass20
1 files changed, 10 insertions, 10 deletions
diff --git a/meta/classes/cve-check.bbclass b/meta/classes/cve-check.bbclass
index e95716d9de..19ed5548b3 100644
--- a/meta/classes/cve-check.bbclass
+++ b/meta/classes/cve-check.bbclass
@@ -267,17 +267,17 @@ def get_cve_info(d, cves):
cve_data = {}
conn = sqlite3.connect(d.getVar("CVE_CHECK_DB_FILE"))
- placeholders = ",".join("?" * len(cves))
- query = "SELECT * FROM NVD WHERE id IN (%s)" % placeholders
- for row in conn.execute(query, tuple(cves)):
- cve_data[row[0]] = {}
- cve_data[row[0]]["summary"] = row[1]
- cve_data[row[0]]["scorev2"] = row[2]
- cve_data[row[0]]["scorev3"] = row[3]
- cve_data[row[0]]["modified"] = row[4]
- cve_data[row[0]]["vector"] = row[5]
- conn.close()
+ for cve in cves:
+ for row in conn.execute("SELECT * FROM NVD WHERE ID IS ?", (cve,)):
+ cve_data[row[0]] = {}
+ cve_data[row[0]]["summary"] = row[1]
+ cve_data[row[0]]["scorev2"] = row[2]
+ cve_data[row[0]]["scorev3"] = row[3]
+ cve_data[row[0]]["modified"] = row[4]
+ cve_data[row[0]]["vector"] = row[5]
+
+ conn.close()
return cve_data
def cve_write_data(d, patched, unpatched, cve_data):