P
II
Tools Report
Object Details
Scan
HR files
Scan Type
s3
Location
pii-tools-public/csv/offline_1000.csv
Document Type
csv
PII Severity
2-HIGH
Object Size
40853
PII Counts
Personal
phone: 100
PII Detected
Personal
phone
[
count=
100
]
13071053928
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 1}
context:
column `phone_num`, neighbouring phone rows: `13142189945`, `15035826194.0`
13142189945
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 2}
context:
column `phone_num`, neighbouring phone rows: `13071053928`, `15035826194.0`, `15110408064`
15035826194.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 3}
context:
column `phone_num`, neighbouring phone rows: `13071053928`, `13142189945`, `15110408064`, `18035102319.0`
15110408064
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 4}
context:
column `phone_num`, neighbouring phone rows: `13142189945`, `15035826194.0`, `18035102319.0`, `13359455566`
18035102319.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 5}
context:
column `phone_num`, neighbouring phone rows: `15035826194.0`, `15110408064`, `13359455566`, `15223431770.0`
13359455566
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 6}
context:
column `phone_num`, neighbouring phone rows: `15110408064`, `18035102319.0`, `15223431770.0`, `13880769976.0`
15223431770.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 7}
context:
column `phone_num`, neighbouring phone rows: `18035102319.0`, `13359455566`, `13880769976.0`, `17708163837.0`
13880769976.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 8}
context:
column `phone_num`, neighbouring phone rows: `13359455566`, `15223431770.0`, `17708163837.0`, `18692277006`
17708163837.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 9}
context:
column `phone_num`, neighbouring phone rows: `15223431770.0`, `13880769976.0`, `18692277006`, `18339524120`
18692277006
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 10}
context:
column `phone_num`, neighbouring phone rows: `13880769976.0`, `17708163837.0`, `18339524120`, `18700960841`
18339524120
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 11}
context:
column `phone_num`, neighbouring phone rows: `17708163837.0`, `18692277006`, `18700960841`, `18786605271`
18700960841
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 12}
context:
column `phone_num`, neighbouring phone rows: `18692277006`, `18339524120`, `18786605271`, `13765137199`
18786605271
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 13}
context:
column `phone_num`, neighbouring phone rows: `18339524120`, `18700960841`, `13765137199`, `13893297447.0`
13765137199
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 14}
context:
column `phone_num`, neighbouring phone rows: `18700960841`, `18786605271`, `13893297447.0`, `18659979889`
13893297447.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 15}
context:
column `phone_num`, neighbouring phone rows: `18786605271`, `13765137199`, `18659979889`, `13881774410`
18659979889
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 16}
context:
column `phone_num`, neighbouring phone rows: `13765137199`, `13893297447.0`, `13881774410`, `15029556053`
13881774410
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 17}
context:
column `phone_num`, neighbouring phone rows: `13893297447.0`, `18659979889`, `15029556053`, `15228962344`
15029556053
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 18}
context:
column `phone_num`, neighbouring phone rows: `18659979889`, `13881774410`, `15228962344`, `13595976887`
15228962344
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 19}
context:
column `phone_num`, neighbouring phone rows: `13881774410`, `15029556053`, `13595976887`, `18692239392`
13595976887
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 20}
context:
column `phone_num`, neighbouring phone rows: `15029556053`, `15228962344`, `18692239392`, `18774001921.0`
18692239392
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 21}
context:
column `phone_num`, neighbouring phone rows: `15228962344`, `13595976887`, `18774001921.0`, `15084813461.0`
18774001921.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 22}
context:
column `phone_num`, neighbouring phone rows: `13595976887`, `18692239392`, `15084813461.0`, `15922866318`
15084813461.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 23}
context:
column `phone_num`, neighbouring phone rows: `18692239392`, `18774001921.0`, `15922866318`, `15281798098`
15922866318
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 24}
context:
column `phone_num`, neighbouring phone rows: `18774001921.0`, `15084813461.0`, `15281798098`, `13919815149`
15281798098
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 25}
context:
column `phone_num`, neighbouring phone rows: `15084813461.0`, `15922866318`, `13919815149`, `13541443291`
13919815149
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 26}
context:
column `phone_num`, neighbouring phone rows: `15922866318`, `15281798098`, `13541443291`, `17782315357`
13541443291
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 27}
context:
column `phone_num`, neighbouring phone rows: `15281798098`, `13919815149`, `17782315357`, `15159518841`
17782315357
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 28}
context:
column `phone_num`, neighbouring phone rows: `13919815149`, `13541443291`, `15159518841`, `13681000841`
15159518841
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 29}
context:
column `phone_num`, neighbouring phone rows: `13541443291`, `17782315357`, `13681000841`, `13938595736`
13681000841
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 30}
context:
column `phone_num`, neighbouring phone rows: `17782315357`, `15159518841`, `13938595736`, `15823286117.0`
13938595736
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 31}
context:
column `phone_num`, neighbouring phone rows: `15159518841`, `13681000841`, `15823286117.0`, `18335938622`
15823286117.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 32}
context:
column `phone_num`, neighbouring phone rows: `13681000841`, `13938595736`, `18335938622`, `15982828631`
18335938622
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 33}
context:
column `phone_num`, neighbouring phone rows: `13938595736`, `15823286117.0`, `15982828631`, `15829392227`
15982828631
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 34}
context:
column `phone_num`, neighbouring phone rows: `15823286117.0`, `18335938622`, `15829392227`, `18681681263`
15829392227
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 35}
context:
column `phone_num`, neighbouring phone rows: `18335938622`, `15982828631`, `18681681263`, `15285495540`
18681681263
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 36}
context:
column `phone_num`, neighbouring phone rows: `15982828631`, `15829392227`, `15285495540`, `15928711180`
15285495540
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 37}
context:
column `phone_num`, neighbouring phone rows: `15829392227`, `18681681263`, `15928711180`, `13990593797`
15928711180
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 38}
context:
column `phone_num`, neighbouring phone rows: `18681681263`, `15285495540`, `13990593797`, `15696439489`
13990593797
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 39}
context:
column `phone_num`, neighbouring phone rows: `15285495540`, `15928711180`, `15696439489`, `15829785021`
15696439489
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 40}
context:
column `phone_num`, neighbouring phone rows: `15928711180`, `13990593797`, `15829785021`, `15328660420`
15829785021
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 41}
context:
column `phone_num`, neighbouring phone rows: `13990593797`, `15696439489`, `15328660420`, `15303898838.0`
15328660420
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 42}
context:
column `phone_num`, neighbouring phone rows: `15696439489`, `15829785021`, `15303898838.0`, `18788621717`
15303898838.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 43}
context:
column `phone_num`, neighbouring phone rows: `15829785021`, `15328660420`, `18788621717`, `13527556495`
18788621717
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 44}
context:
column `phone_num`, neighbouring phone rows: `15328660420`, `15303898838.0`, `13527556495`, `18728417348.0`
13527556495
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 45}
context:
column `phone_num`, neighbouring phone rows: `15303898838.0`, `18788621717`, `18728417348.0`, `13458673219.0`
18728417348.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 46}
context:
column `phone_num`, neighbouring phone rows: `18788621717`, `13527556495`, `13458673219.0`, `13980503470`
13458673219.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 47}
context:
column `phone_num`, neighbouring phone rows: `13527556495`, `18728417348.0`, `13980503470`, `15294159589.0`
13980503470
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 48}
context:
column `phone_num`, neighbouring phone rows: `18728417348.0`, `13458673219.0`, `15294159589.0`, `13627670206.0`
15294159589.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 49}
context:
column `phone_num`, neighbouring phone rows: `13458673219.0`, `13980503470`, `13627670206.0`, `13086669771`
13627670206.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 50}
context:
column `phone_num`, neighbouring phone rows: `13980503470`, `15294159589.0`, `13086669771`, `18569086364`
13086669771
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 51}
context:
column `phone_num`, neighbouring phone rows: `15294159589.0`, `13627670206.0`, `18569086364`, `18903919771`
18569086364
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 52}
context:
column `phone_num`, neighbouring phone rows: `13627670206.0`, `13086669771`, `18903919771`, `13548182757.0`
18903919771
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 53}
context:
column `phone_num`, neighbouring phone rows: `13086669771`, `18569086364`, `13548182757.0`, `18223892080`
13548182757.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 54}
context:
column `phone_num`, neighbouring phone rows: `18569086364`, `18903919771`, `18223892080`, `18920163577`
18223892080
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 55}
context:
column `phone_num`, neighbouring phone rows: `18903919771`, `13548182757.0`, `18920163577`, `18508399000.0`
18920163577
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 56}
context:
column `phone_num`, neighbouring phone rows: `13548182757.0`, `18223892080`, `18508399000.0`, `15223225266`
18508399000.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 57}
context:
column `phone_num`, neighbouring phone rows: `18223892080`, `18920163577`, `15223225266`, `15348247000`
15223225266
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 58}
context:
column `phone_num`, neighbouring phone rows: `18920163577`, `18508399000.0`, `15348247000`, `18625595300`
15348247000
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 59}
context:
column `phone_num`, neighbouring phone rows: `18508399000.0`, `15223225266`, `18625595300`, `15895479800`
18625595300
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 60}
context:
column `phone_num`, neighbouring phone rows: `15223225266`, `15348247000`, `15895479800`, `18198609917`
15895479800
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 61}
context:
column `phone_num`, neighbouring phone rows: `15348247000`, `18625595300`, `18198609917`, `15869995217.0`
18198609917
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 62}
context:
column `phone_num`, neighbouring phone rows: `18625595300`, `15895479800`, `15869995217.0`, `15285016883.0`
15869995217.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 63}
context:
column `phone_num`, neighbouring phone rows: `15895479800`, `18198609917`, `15285016883.0`, `18428345995`
15285016883.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 64}
context:
column `phone_num`, neighbouring phone rows: `18198609917`, `15869995217.0`, `18428345995`, `15982413655`
18428345995
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 65}
context:
column `phone_num`, neighbouring phone rows: `15869995217.0`, `15285016883.0`, `15982413655`, `13799747968.0`
15982413655
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 66}
context:
column `phone_num`, neighbouring phone rows: `15285016883.0`, `18428345995`, `13799747968.0`, `18508513979.0`
13799747968.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 67}
context:
column `phone_num`, neighbouring phone rows: `18428345995`, `15982413655`, `18508513979.0`, `17731141166.0`
18508513979.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 68}
context:
column `phone_num`, neighbouring phone rows: `15982413655`, `13799747968.0`, `17731141166.0`, `18793148172.0`
17731141166.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 69}
context:
column `phone_num`, neighbouring phone rows: `13799747968.0`, `18508513979.0`, `18793148172.0`, `18223220092`
18793148172.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 70}
context:
column `phone_num`, neighbouring phone rows: `18508513979.0`, `17731141166.0`, `18223220092`, `18111742760`
18223220092
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 71}
context:
column `phone_num`, neighbouring phone rows: `17731141166.0`, `18793148172.0`, `18111742760`, `15983061141`
18111742760
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 72}
context:
column `phone_num`, neighbouring phone rows: `18793148172.0`, `18223220092`, `15983061141`, `13989302302`
15983061141
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 73}
context:
column `phone_num`, neighbouring phone rows: `18223220092`, `18111742760`, `13989302302`, `18586751243`
13989302302
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 74}
context:
column `phone_num`, neighbouring phone rows: `18111742760`, `15983061141`, `18586751243`, `18382158651.0`
18586751243
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 75}
context:
column `phone_num`, neighbouring phone rows: `15983061141`, `13989302302`, `18382158651.0`, `15883045050`
18382158651.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 76}
context:
column `phone_num`, neighbouring phone rows: `13989302302`, `18586751243`, `15883045050`, `13919088453.0`
15883045050
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 77}
context:
column `phone_num`, neighbouring phone rows: `18586751243`, `18382158651.0`, `13919088453.0`, `15333813662.0`
13919088453.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 78}
context:
column `phone_num`, neighbouring phone rows: `18382158651.0`, `15883045050`, `15333813662.0`, `18691866461`
15333813662.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 79}
context:
column `phone_num`, neighbouring phone rows: `15883045050`, `13919088453.0`, `18691866461`, `13548244878.0`
18691866461
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 80}
context:
column `phone_num`, neighbouring phone rows: `13919088453.0`, `15333813662.0`, `13548244878.0`, `15585165887`
13548244878.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 81}
context:
column `phone_num`, neighbouring phone rows: `15333813662.0`, `18691866461`, `15585165887`, `13340874305`
15585165887
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 82}
context:
column `phone_num`, neighbouring phone rows: `18691866461`, `13548244878.0`, `13340874305`, `15116156407`
13340874305
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 83}
context:
column `phone_num`, neighbouring phone rows: `13548244878.0`, `15585165887`, `15116156407`, `15186996704`
15116156407
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 84}
context:
column `phone_num`, neighbouring phone rows: `15585165887`, `13340874305`, `15186996704`, `13683459472.0`
15186996704
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 85}
context:
column `phone_num`, neighbouring phone rows: `13340874305`, `15116156407`, `13683459472.0`, `18810425766`
13683459472.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 86}
context:
column `phone_num`, neighbouring phone rows: `15116156407`, `15186996704`, `18810425766`, `15708425686.0`
18810425766
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 87}
context:
column `phone_num`, neighbouring phone rows: `15186996704`, `13683459472.0`, `15708425686.0`, `15823916621.0`
15708425686.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 88}
context:
column `phone_num`, neighbouring phone rows: `13683459472.0`, `18810425766`, `15823916621.0`, `15736247574`
15823916621.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 89}
context:
column `phone_num`, neighbouring phone rows: `18810425766`, `15708425686.0`, `15736247574`, `15085957859.0`
15736247574
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 90}
context:
column `phone_num`, neighbouring phone rows: `15708425686.0`, `15823916621.0`, `15085957859.0`, `13666225110`
15085957859.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 91}
context:
column `phone_num`, neighbouring phone rows: `15823916621.0`, `15736247574`, `13666225110`, `15923003380.0`
13666225110
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 92}
context:
column `phone_num`, neighbouring phone rows: `15736247574`, `15085957859.0`, `15923003380.0`, `15680961691`
15923003380.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 93}
context:
column `phone_num`, neighbouring phone rows: `15085957859.0`, `13666225110`, `15680961691`, `18306036093`
15680961691
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 94}
context:
column `phone_num`, neighbouring phone rows: `13666225110`, `15923003380.0`, `18306036093`, `17781686441`
18306036093
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 95}
context:
column `phone_num`, neighbouring phone rows: `15923003380.0`, `15680961691`, `17781686441`, `13518145935`
17781686441
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 96}
context:
column `phone_num`, neighbouring phone rows: `15680961691`, `18306036093`, `13518145935`, `18580690649`
13518145935
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 97}
context:
column `phone_num`, neighbouring phone rows: `18306036093`, `17781686441`, `18580690649`, `13419245620`
18580690649
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 98}
context:
column `phone_num`, neighbouring phone rows: `17781686441`, `13518145935`, `13419245620`, `13198697968.0`
13419245620
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 99}
context:
column `phone_num`, neighbouring phone rows: `13518145935`, `18580690649`, `13198697968.0`
13198697968.0
confidence:
1.0
position:
{"char": 0, "col": 2, "row": 100}
context:
column `phone_num`, neighbouring phone rows: `18580690649`, `13419245620`
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md5
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owner
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doctype
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filename
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filesize
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location
: pii-tools-public/csv/offline_1000.csv
file_hash
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content_type
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storage_type
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last_modified
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