def main():
global args
if os.path.isfile(args.db_name):
if args.zap:
os.remove(args.db_name)
else:
raise Exception("Output database already exists; aborting.")
conn = sqlite3.connect(args.db_name)
conn.isolation_level = "EXCLUSIVE"
conn.row_factory = sqlite3.Row
cur = conn.cursor()
cur.execute(SQL_CREATE_LOCATION_GROUND_TRUTH)
conn.commit()
gtcsv = open(args.ground_truth_csv, "r")
for (lineno, line) in enumerate(gtcsv):
if line.startswith("#"):
continue
line_parts = line[:-1].split("\t")
assert len(line_parts) <= 5
rec = {
"image_id": line_parts[0],
"country": line_parts[1],
"region": line_parts[2],
"city": line_parts[3],
"postalCode": line_parts[4]
}
for key in rec.keys():
if rec[key] == "":
rec[key] = None
geoproc_library.insert_db(cur, "location_ground_truth", rec)
conn.commit()
conn.close()
def main():
cfg = geoproc_cfg.config
lookupconn = None
lookupcur = None
try:
import mysql.connector as mdb
lookupconn = mdb.connect(
host=cfg.get("mysql", "maxmind_server"),
user=cfg.get("mysql", "maxmind_read_username"),
password=geoproc_cfg.db_password("maxmind_read_password_file"),
db=cfg.get("mysql", "maxmind_schema"),
use_unicode=True
)
lookupcur = lookupconn.cursor(cursor_class=geoproc_cfg.MySQLCursorDict)
except:
sys.stderr.write("Warning: Could not connect to database. Proceeding without database support.\n")
pass
annoconn, annocur = geoproc_library.connect_to_fs_anno_db(args.anno)
outconn = sqlite3.connect(os.path.join(args.out_dir, "cookie_files_votes.db"))
outconn.isolation_level = "EXCLUSIVE"
outconn.row_factory = sqlite3.Row
outcur = outconn.cursor()
outcur.execute(SQL_CREATE_COOKIE_FILES_VOTES)
#Walk cookie dump directory
#TODO? Use a validly-extracted manifest file instead of walking dump directory.
for (dirpath, dirnames, filenames) in os.walk(args.cookie_dump_dir):
for cookie_txt_fname in (x for x in filenames if x.endswith("txt")):
cookie_fiwalk_id = int(os.path.splitext(cookie_txt_fname)[0])
dprint("Reading cookie_fiwalk_id: %r." % cookie_fiwalk_id)
with open(os.path.join(dirpath, cookie_txt_fname),"r",encoding="utf-8") as cookie_file:
try:
some_kibs = cookie_file.read(0x8000)
except:
sys.stderr.write("Warning: Reading file %r failed. Stack trace follows.\n" % cookie_txt_fname)
sys.stderr.write(traceback.format_exc())
continue
if len(some_kibs) == 0x8000:
sys.stderr.write("Warning: Skipped abnormally large 'cookie' file, >=32KiB: %r.\n" % cookie_txt_fname)
continue
votes = get_cookie_votes(outconn, lookupcur, annocur, cookie_fiwalk_id, some_kibs)
for vote in votes:
geoproc_library.insert_db(outcur, "cookie_files_votes", vote)
outconn.commit()
def main():
global args
parser = argparse.ArgumentParser(description="Analyze Bulk Extractor EXIF output for location indicators.")
parser.add_argument("-d", "--debug", action="store_true", help="Enable debug printing (writes to stderr).")
parser.add_argument("-r", "--regress", action="store_true", help="Run regression tests and exit.")
args_regress = parser.parse_known_args()[0]
## Set up regular expressions for extracting desired EXIF tags
relatref = re.compile(br"<Exif.GPSInfo.GPSLatitudeRef>(?P<GPSLatitudeRef>[NS])\</Exif.GPSInfo.GPSLatitudeRef>")
relongref = re.compile(br"<Exif.GPSInfo.GPSLongitudeRef>(?P<GPSLongitudeRef>[EW])</Exif.GPSInfo.GPSLongitudeRef>")
relat = re.compile(br"<Exif.GPSInfo.GPSLatitude>(?P<GPSLatitude>[0-9\-/ ]{1,40})</Exif.GPSInfo.GPSLatitude>")
relong = re.compile(br"<Exif.GPSInfo.GPSLongitude>(?P<GPSLongitude>[0-9\-/ ]{1,40})</Exif.GPSInfo.GPSLongitude>")
retimestamp = re.compile(br"<Exif.GPSInfo.GPSTimeStamp>(?P<GPSTimeStamp>[0-9/ ]{1,40})</Exif.GPSInfo.GPSTimeStamp>")
redatestamp = re.compile(br"<Exif.GPSInfo.GPSDateStamp>(?P<GPSDateStamp>[0-9: .]{1,40})</Exif.GPSInfo.GPSDateStamp>")
redatetime = re.compile(br"<Exif.Image.DateTime>(?P<DateTime>[0-9: .]{1,40})</Exif.Image.DateTime>")
if args_regress.regress:
assert round(dms_to_decimal(b"33/1 49/1 42/1"), 4) == 33.8283
assert round(dms_to_decimal(b"33/1 49/1 0/1"), 4) == round(dms_to_decimal(b"33/1 49/1"), 4)
assert dms_to_decimal(b"0/0 0/0 0/0") is None #This value was observed in the Real Data Corpus.
#TODO assert hms_fraction_to_decimal(b"8/1 49/1 18/1") == "8:49:18"
#Sample EXIF data supplied by m57-redacted-terry-2009-12-07.aff, image offset 2116743168, pretty-printed with xmllint
test_exif = b"""<?xml version="1.0"?>
<exif>
<width>48</width>
<height>48</height>
<Exif.Image.Make>Apple</Exif.Image.Make>
<Exif.Image.Model>iPhone</Exif.Image.Model>
<Exif.Image.XResolution>72/1</Exif.Image.XResolution>
<Exif.Image.YResolution>72/1</Exif.Image.YResolution>
<Exif.Image.ResolutionUnit>2</Exif.Image.ResolutionUnit>
<Exif.Image.DateTime>2008:11:26 11:46:56</Exif.Image.DateTime>
<Exif.Image.ExifTag>180</Exif.Image.ExifTag>
<Exif.Photo.FNumber>14/5</Exif.Photo.FNumber>
<Exif.Photo.DateTimeOriginal>2008:11:26 11:46:56</Exif.Photo.DateTimeOriginal>
<Exif.Photo.DateTimeDigitized>2008:11:26 11:46:56</Exif.Photo.DateTimeDigitized>
<Exif.Photo.ColorSpace>1</Exif.Photo.ColorSpace>
<Exif.Photo.PixelXDimension>1200</Exif.Photo.PixelXDimension>
<Exif.Photo.PixelYDimension>1600</Exif.Photo.PixelYDimension>
<Exif.Image.GPSTag>306</Exif.Image.GPSTag>
<Exif.GPSInfo.GPSLatitudeRef>N</Exif.GPSInfo.GPSLatitudeRef>
<Exif.GPSInfo.GPSLatitude>38/1 5354/100 0/1</Exif.GPSInfo.GPSLatitude>
<Exif.GPSInfo.GPSLongitudeRef>W</Exif.GPSInfo.GPSLongitudeRef>
<Exif.GPSInfo.GPSLongitude>92/1 2343/100 0/1</Exif.GPSInfo.GPSLongitude>
<Exif.GPSInfo.GPSTimeStamp>11/1 46/1 788/100</Exif.GPSInfo.GPSTimeStamp>
<Exif.Image.0xa500>11/5</Exif.Image.0xa500>
<Exif.Thumbnail.Compression>6</Exif.Thumbnail.Compression>
<Exif.Thumbnail.Orientation>6</Exif.Thumbnail.Orientation>
<Exif.Thumbnail.XResolution>72/1</Exif.Thumbnail.XResolution>
<Exif.Thumbnail.YResolution>72/1</Exif.Thumbnail.YResolution>
<Exif.Thumbnail.ResolutionUnit>2</Exif.Thumbnail.ResolutionUnit>
<Exif.Thumbnail.JPEGInterchangeFormat>550</Exif.Thumbnail.JPEGInterchangeFormat>
<Exif.Thumbnail.JPEGInterchangeFormatLength>11682</Exif.Thumbnail.JPEGInterchangeFormatLength>
</exif>"""
assert not relat.search(test_exif) is None
assert not relong.search(test_exif) is None
assert relatref.search(test_exif).group("GPSLatitudeRef") == b"N"
assert relongref.search(test_exif).group("GPSLongitudeRef") == b"W"
exit(0)
parser.add_argument("-a", "--anno", help="Annotation database of Fiwalk and TSK-db")
parser.add_argument("exif_file", type=argparse.FileType('rb'), help="Bulk Extractor exif.txt")
args = parser.parse_args()
dprint("Debug: args.anno = %r.\n" % args.anno)
## Connect to db
cfg = geoproc_cfg.config
refconn = mysql.connector.Connect(
host=cfg.get("mysql", "maxmind_server"),
user=cfg.get("mysql", "maxmind_read_username"),
password=geoproc_cfg.db_password("maxmind_read_password_file"),
db=cfg.get("mysql", "maxmind_schema"),
use_unicode=True
)
if refconn is None:
raise Exception("Error: Could not define lookup cursor.")
refcur = refconn.cursor(cursor_class=geoproc_cfg.MySQLCursorDict)
## Connect to output db
outconn = sqlite3.connect("exif_headers_votes.db")
outconn.isolation_level = "EXCLUSIVE"
outconn.row_factory = sqlite3.Row
outcur = outconn.cursor()
outcur.execute(SQL_CREATE_EXIF_HEADERS_VOTES)
## Connect to anno db if available
annoconn, annocur = geoproc_library.connect_to_fs_anno_db(args.anno)
for binary_line in args.exif_file:
binary_line_parts = binary_line.split(b"\t")
if len(binary_line_parts) < 3:
#We don't even have exif data. Skip.
continue
recdict = dict()
recdict["forensic_path"] = str(binary_line_parts[0], "ascii")
exif_data = binary_line_parts[2]
match_exif_gps_lat = relat.search(exif_data)
match_exif_gps_lon = relong.search(exif_data)
#The above matches are essential
if None in [match_exif_gps_lat, match_exif_gps_lon]:
continue
exif_gps_lat_decimal = dms_to_decimal(match_exif_gps_lat.group("GPSLatitude"))
exif_gps_lon_decimal = dms_to_decimal(match_exif_gps_lon.group("GPSLongitude"))
try:
if not None in [exif_gps_lat_decimal, exif_gps_lon_decimal]:
recdict["exif_gps_lat"] = round(exif_gps_lat_decimal, 4)
recdict["exif_gps_lon"] = round(exif_gps_lon_decimal, 4)
except IndexError:
#Didn't find lat or long content. Warn and continue.
sys.stderr.write("Warning: Couldn't find a lat (maybe long) from these matches:\n\t%r\n\t%r\n" % (match_exif_gps_lat.group(0), match_exif_gps_lon.group(0)))
#This script's only purpose is finding lat/longs
if None in [recdict.get("exif_gps_lat"), recdict.get("exif_gps_lon")]:
continue
#Lat/long references, we can guess: Default to N,E.
match_exif_gps_latref = relatref.search(exif_data)
match_exif_gps_longref = relongref.search(exif_data)
exif_gps_latref = b"N"
if match_exif_gps_latref:
exif_gps_latref = match_exif_gps_latref.group("GPSLatitudeRef")
exif_gps_longref = b"E"
if match_exif_gps_longref:
exif_gps_longref = match_exif_gps_longref.group("GPSLongitudeRef")
if exif_gps_latref == b"S":
recdict["exif_gps_lat"] *= -1
if exif_gps_longref == b"W":
recdict["exif_gps_lon"] *= -1
#Times, we can guess from the file if we really need to.
match_exif_timestamp = retimestamp.search(exif_data)
if match_exif_timestamp:
recdict["exif_gps_timestamp"] = hms_fraction_to_decimal(match_exif_timestamp.group("GPSTimeStamp"))
match_exif_datestamp = redatestamp.search(exif_data)
if match_exif_datestamp:
recdict["exif_gps_datestamp"] = match_exif_datestamp.group("GPSDateStamp")
match_exif_datetime = redatetime.search(exif_data)
if match_exif_datetime:
recdict["exif_datetime"] = match_exif_datetime.group("DateTime")
#TODO integrate times into output
refrecs = geoproc_library.latlongs_to_networked_locations(refcur, recdict["exif_gps_lat"], recdict["exif_gps_lon"], 30)
if refrecs is None:
recdict["database_queried"] = False
else:
recdict["database_queried"] = True
#Get the nearest city within 30 miles
if len(refrecs) > 0 and refrecs[0]["distance_miles"] < 30:
refrec = refrecs[0]
recdict["country"] = refrec["country"]
recdict["region"] = refrec["region"]
recdict["city"] = refrec["city"]
recdict["postalCode"] = refrec["postalCode"]
recdict["distance_miles"] = refrec["distance_miles"]
#Note the name of the file containing this EXIF data, if available
annorecs = geoproc_library.forensic_path_to_anno_recs(annocur, recdict["forensic_path"])
if annorecs and len(annorecs) > 0:
for annorec in annorecs:
outdict = copy.deepcopy(recdict)
outdict["fs_obj_id"] = annorec.get("fs_obj_id")
outdict["obj_id"] = annorec.get("obj_id")
outdict["fiwalk_id"] = annorec.get("fiwalk_id")
#Look at file system path and say if we think it's in a cache
if outdict.get("obj_id"):
annocur.execute("""
SELECT
full_path
FROM
tsk_file_full_paths
WHERE
obj_id = ?;
""", (outdict["obj_id"],))
pathrows = [row for row in annocur]
if len(pathrows) == 1:
outdict["file_in_web_cache"] = geoproc_library.path_in_web_cache(pathrows[0]["full_path"])
#Output
geoproc_library.insert_db(outcur, "exif_headers_votes", outdict)
else:
#Output to database without owning-file annotations
geoproc_library.insert_db(outcur, "exif_headers_votes", recdict)
outconn.commit()
def main():
global args
#Connect to anno db if available
annoconn, annocur = geoproc_library.connect_to_fs_anno_db(args.anno)
#Connect to db
cfg = geoproc_cfg.config
refconn = mysql.connector.Connect(
host=cfg.get("mysql", "maxmind_server"),
user=cfg.get("mysql", "maxmind_read_username"),
password=geoproc_cfg.db_password("maxmind_read_password_file"),
db=cfg.get("mysql", "maxmind_schema"),
use_unicode=True
)
if refconn is None:
raise Exception("Error: Could not define lookup cursor.")
refcur = refconn.cursor(cursor_class=geoproc_cfg.MySQLCursorDict)
outconn = sqlite3.connect("ipv4s_votes.db")
outconn.isolation_level = "EXCLUSIVE"
outconn.row_factory = sqlite3.Row
outcur = outconn.cursor()
outcur.execute(SQL_CREATE_IPV4S_VOTES)
pairing_dict = collections.defaultdict(list)
ip_set = set([])
for (ipno, (forensic_path, ipv4, ipv4_notes)) in enumerate(geoproc_library.bulk_extractor_ips(args.be_dir)):
pairing_dict[forensic_path].append((ipv4, ipv4_notes))
ip_set.add(ipv4)
#Unfortunately, there isn't much to do for timestamps without file system or network time information. #TODO Add time interface
dummy_dftime = dfxml.dftime("2009-05-01T00:00:00Z")
ips_to_locs = geoproc_library.ips_to_locations(refcur, None, ip_set)
for forensic_path in pairing_dict:
#Determine if we have a pair
entries_at_path = pairing_dict[forensic_path]
pair_found = len(entries_at_path) == 2
for (ipv4, ipv4_notes) in entries_at_path:
outdict = dict()
outdict["believed_timestamp"] = dummy_dftime.iso8601()
outdict["forensic_path"] = forensic_path
outdict["ipv4"] = ipv4
outdict["ipv4_notes"] = ipv4_notes
if "cksum-bad" in ipv4_notes:
outdict["cksum_ok"] = False
elif "cksum-ok" in ipv4_notes:
outdict["cksum_ok"] = True
#None, otherwise
outdict["is_socket_address"] = "sockaddr" in ipv4_notes
outdict["pair_found"] = pair_found
if "(src)" in ipv4_notes:
outdict["src_or_dst"] = "src"
elif "dst" in ipv4_notes:
outdict["src_or_dst"] = "dst"
#None, otherwise
annorecs = geoproc_library.forensic_path_to_anno_recs(annocur, outdict["forensic_path"])
if annorecs and len(annorecs) > 1:
sys.stderr.write("Warning: Multiple files found to own forensic path %r. Only using first. This may cause strange results.\n" % outdict["forensic_path"])
if annorecs and len(annorecs) > 0:
annorec = annorecs[0]
outdict["obj_id"] = annorec.get("obj_id")
outdict["fs_obj_id"] = annorec.get("fs_obj_id")
outdict["fiwalk_id"] = annorec.get("fiwalk_id")
if ipv4 in ips_to_locs:
for key in [
"maxmind_ipv4_time",
"country",
"region",
"city",
"postalCode",
"latitude",
"longitude"
]:
outdict[key] = ips_to_locs[ipv4][key]
geoproc_library.insert_db(outcur, "ipv4s_votes", outdict)
outconn.commit()
def ingest_table(outcur, lookupcur, gtcur, results_dir, scriptname, dbname, tablename):
global args
global lookup_memoizer
if success.success(os.path.join(results_dir, scriptname + ".status.log")):
image_id = os.path.basename(results_dir)
dprint("Debug: image_id: %r" % image_id)
dprint("Debug: results_dir: %r" % results_dir)
dprint("Debug: scriptname: %r" % scriptname)
dprint("Debug: dbname: %r" % dbname)
try:
results_conn = sqlite3.connect(os.path.join(results_dir, scriptname, dbname))
except:
raise
results_conn.row_factory = sqlite3.Row
results_conn.isolation_level = "EXCLUSIVE" #lock database
results_cur = results_conn.cursor()
results_cur.execute("SELECT * FROM %s;" % tablename)
#Check if we're counting ground truth for this image
image_ground_truth_available = False
if gtcur is not None:
gtcur.execute("SELECT COUNT(*) AS tally FROM location_ground_truth WHERE image_id = ?;", (image_id,))
gtrows = [row for row in gtcur]
image_ground_truth_available = gtrows[0]["tally"] > 0
for row in results_cur:
outdict = {k:row[k] for k in row.keys()}
outdict["image_id"] = image_id
geoproc_library.insert_db(outcur, tablename, outdict)
if gtcur is not None and image_ground_truth_available:
list_vals = []
non_null_results_cols = [bcol for bcol in LOCATION_COLUMNS if outdict.get(bcol)]
sqlite3_extra_where = ""
mysql_extra_where = ""
for bcol in non_null_results_cols:
#This sqlite query matches in the case where ground truth is not city-granularity
sqlite3_extra_where += " AND (" + bcol + " = ? OR " + bcol + " IS NULL)"
mysql_extra_where += " AND " + bcol + " = %s"
list_vals.append(outdict[bcol])
#Make sure the search has at least one narrowing component
if len(list_vals) == 0:
continue
if not (sqlite3_extra_where, tuple([image_id] + list_vals)) in gt_memoizer:
gtquery = "SELECT country,region,city FROM location_ground_truth WHERE image_id = ?"
gtquery += sqlite3_extra_where + ";"
gtcur.execute(gtquery, tuple([image_id] + list_vals))
gt_memoizer[(sqlite3_extra_where, tuple([image_id] + list_vals))] = [(row["country"], row["region"], row["city"]) for row in gtcur]
if not (mysql_extra_where, tuple(list_vals)) in lookup_memoizer:
lookupquery = "SELECT country,region,city FROM DistinctLocations WHERE 1=1"
lookupquery += mysql_extra_where + ";"
lookupcur.execute(lookupquery, tuple(list_vals))
lookup_memoizer[(mysql_extra_where, tuple(list_vals))] = [(row["country"], row["region"], row["city"]) for row in lookupcur]
gtrecs = gt_memoizer[(sqlite3_extra_where, tuple([image_id] + list_vals))]
lookuprecs = lookup_memoizer[(mysql_extra_where, tuple(list_vals))]
#dprint("Debug: lookupquery = %r." % lookupquery)
#dprint("Debug: list_vals = %r." % list_vals)
#Get worldwide number of matching locations if one of the fields is missing
dprint("Debug: len(lookuprecs) = %d." % len(lookuprecs))
#Mark current vote correct by counting the number of matches in the ground truth query
outdict["correct_location"] = len([rec for rec in gtrecs if (outdict["country"], outdict["region"], outdict["city"]) == rec])
for (colno, col) in enumerate(LOCATION_COLUMNS):
outdict["correct_" + col] = len([rec for rec in gtrecs if rec[colno] == outdict[col]])
outdict["number_possible_locations"] = len(lookuprecs)
geoproc_library.insert_db(outcur, tablename + "_weighted", outdict)
results_conn.close()
def main():
global args
#Set up lookup database connection
cfg = geoproc_cfg.config
lookupconn = None
lookupcur = None
try:
import mysql.connector as mdb
lookupconn = mdb.connect(
host=cfg.get("mysql", "maxmind_server"),
user=cfg.get("mysql", "maxmind_read_username"),
password=geoproc_cfg.db_password("maxmind_read_password_file"),
db=cfg.get("mysql", "maxmind_schema"),
use_unicode=True
)
lookupcur = lookupconn.cursor(cursor_class=geoproc_cfg.MySQLCursorDict)
except:
sys.stderr.write("Warning: Could not connect to database. Proceeding without database support.\n")
pass
#Connect to annodb
annoconn, annocur = geoproc_library.connect_to_fs_anno_db(args.annodb)
#Verify input
manifest_path = os.path.join(args.emaildir, "manifest.txt")
if not os.path.isfile(manifest_path):
raise Exception("Error: manifest.txt not found in input directory.")
#Ingest BE ips, if available
#Stash in (once-tested) histogram.
#Dictionary key: ipv4 address
#Dictionary value: (notes, tally) default dictionary.
ip_notes_histogram = collections.defaultdict(lambda: collections.defaultdict(lambda: 0))
if args.bulk_extractor_output:
for (forensic_path, ipv4, ipv4_notes) in geoproc_library.bulk_extractor_ips(args.bulk_extractor_output):
ip_notes_histogram[ipv4][ipv4_notes] += 1
dprint("Debug: Number of IPv4s with notes: %d." % len(ip_notes_histogram.keys()))
#Set up output database
outdbpath = os.path.join(args.outdir, "email_files_votes.db")
if os.path.isfile(outdbpath):
raise Exception("Error: Output database already exists. This script won't overwrite. Aborting.")
outconn = sqlite3.connect(outdbpath)
outconn.isolation_level = "EXCLUSIVE"
outconn.row_factory = sqlite3.Row
outcur = outconn.cursor()
outcur.execute(SQL_CREATE_EMAIL_FILES_VOTES)
for (fiwalk_id, messageno, message) in emails_in_dir_manifest(manifest_path):
dprint("Debug: Analyzing a record from fiwalk_id %r." % fiwalk_id)
#print(repr(type(message)))
#for i in message.keys():
# print('%r: %r' % (i, message.get_all(i)))
received_recs = message.get_all("Received")
if not received_recs:
continue
pathlength = len(received_recs)
for (pathindex, pathline) in enumerate(received_recs):
#TODO Just getting all the IPs for now; filter later
ips = geoproc_library.all_ipv4s(pathline)
dprint("Debug: Found this many IP's: %d.\n\t%r" % (len(ips), ips))
#Can we get a date?
maybe_timestamp = None
maybe_timestamp_match = dfxml.rx_rfc822datetime.search(pathline)
if maybe_timestamp_match:
thestring = maybe_timestamp_match.string
thespan = maybe_timestamp_match.span()
thedatestring = thestring[thespan[0]:thespan[1]]
try:
maybe_timestamp = dfxml.dftime(thedatestring)
except:
sys.stderr.write("Warning: An error occured trying to parse time input.\nInput:%r\nStack trace:\n" % thedatestring)
sys.stderr.write(traceback.format_exc())
sys.stderr.write("\n")
#Don't stop here.
dprint("Debug: Believed timestamp: %r." % maybe_timestamp)
#Now that we have a date, can we get locations?
if maybe_timestamp:
#Can we get a single recipient? (This is, of course, not guaranteed to be the owner.)
sole_recipient = None
delivered_to_headers = message.get_all("Delivered-To")
to_headers = message.get_all("To")
if delivered_to_headers and len(delivered_to_headers) == 1:
sole_recipient = delivered_to_headers[0]
elif to_headers and len(to_headers) == 1 and len(to_headers[0].split("\n")) == 1:
sole_recipient = to_headers[0]
all_ip_locations = geoproc_library.ips_to_locations(lookupcur, maybe_timestamp.datetime(), ips)
dprint("Debug: Fetched these IP location records:\n\t%r" % all_ip_locations)
for ip in ips:
outdict = {"fiwalk_id":fiwalk_id}
#TODO Use annodb to get TSK identifiers
outdict["message_index"] = messageno
outdict["ipv4"] = ip
outdict["received_path_index"] = pathindex
outdict["received_path_length"] = pathlength
outdict["received_header_text"] = pathline
outdict["database_queried"] = all_ip_locations is not None
outdict["believed_timestamp"] = str(maybe_timestamp)
outdict["sole_recipient_domain_is_webmail"] = geoproc_library.in_webmail_domain(sole_recipient)
if all_ip_locations is not None and ip in all_ip_locations:
rec = all_ip_locations[ip]
outdict["latitude"] = rec.get("latitude")
outdict["longitude"] = rec.get("longitude")
outdict["postalCode"] = rec.get("postalCode")
outdict["maxmind_ipv4_time"] = dfxml.dftime(rec.get("maxmind_ipv4_time")).iso8601()
if rec.get("country"):
outdict["country"] = rec["country"]
if rec.get("region"):
outdict["region"] = rec["region"]
if rec.get("city"):
outdict["city"] = rec["city"]
dprint("Debug: Checking for IP notes for %r." % ip)
if ip in ip_notes_histogram:
dprint("Debug: Formatting notes for %r." % ip)
notedict = ip_notes_histogram[ip]
notelist = sorted(notedict.keys())
notes_to_format = []
for note in notelist:
notes_to_format.append("%d %r" % (notedict[note], note))
outdict["ipv4_be_notes"] = "; ".join(notes_to_format)
outdict["ipv4_be_has_cksum_or_socket"] = "sockaddr" in outdict["ipv4_be_notes"] or "cksum-ok" in outdict["ipv4_be_notes"]
dprint("Debug: Outdict just before inserting:\n\t%r" % outdict)
geoproc_library.insert_db(outcur, "email_files_votes", outdict)
outconn.commit()
dprint("Debug: Done.")
