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authorRoss Burton <ross.burton@intel.com>2019-12-08 20:35:57 +0200
committerArmin Kuster <akuster808@gmail.com>2019-12-22 20:26:30 -0800
commit0f5b748a5b7fec41bac16bbc1346230e86bb99e3 (patch)
treeec22b4ab5279a4abf9bf44e9834f716e87f6ef90
parent0ec6843bec3e817c3bc62d04adea5fd385307b32 (diff)
downloadopenembedded-core-0f5b748a5b7fec41bac16bbc1346230e86bb99e3.tar.gz
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) 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>
-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):