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Data Breach Misattribution, Acxiom & Live Ramp

published on 2022-11-22 20:06:51 UTC by Troy Hunt
Content:

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Data Breach Misattribution, Acxiom & Live Ramp

If you find your name and home address posted online, how do you know where it came from? Let's assume there's no further context given, it's just your legitimate personal data and it also includes your phone number, email address... and over 400 other fields of data. Where on earth did it come from? Now, imagine it's not just your record, but it's 246 million records. Welcome to my world.

This is a story about a massive corpus of data circulating widely within the hacking community and misattributed to a legitimate organisation. That organisation is Acxiom, and their business hinges on providing their customers with data on their customers. By the very nature of their business, they process large volumes of data that includes a broad set of personal attributes. By pure coincidence, there is nominal commonality between Acxiom’s records and the ones in the 246M corpus I mentioned earlier. But I'm jumping ahead to the conclusion, let's go back to the beginning:

Disclosure and Attribution Debunking

In June last year, I received an email from someone I trust who had sent me data for Have I Been Pwned (HIBP) in the past:

Have you seen Axciom [sic] data? It was just sent to us. Seems to being traded/sold on some forums. Have you received it yet? If not i can upload it for you. It's quite large tho, ~250M Records.

A corpus of data that size is particularly interesting as it impacts such a huge number of people. So, I reviewed the data and concluded... pretty much nothing. Looks legit, smells legit but there was absolutely nothing beyond the word of one person to tie it to Acxiom (and who knows who they got that word from). Burdened by other more immediately actionable data breaches, I filed it away until recently when that name popped up again, this time on a popular hacking forum:

Data Breach Misattribution, Acxiom & Live Ramp

It was referred to as "LiveRamp (Formerly Acxiom)" and before I go any further, let's just clarify the problem with that while you're looking at the image above: LiveRamp was previously a subsidiary of Acxiom, but that hasn't been the case since they separated businesses in 2018 so whoever put this together is referring back to a very old state of play. Regardless, those downloading it from the forum were clearly very excited about it. Seeing this for the second time and spreading far more broadly, I decided to reach out to the (alleged) source and ask Acxiom what was going on.

I dread this process - contacting an organisation about a breach - because I usually get either no response whatsoever or a standoffish one. Rarely do I find a receptive organisation willing to fully investigate an alleged incident, but that's exactly what I found on this occasion. Much of the reason why I wanted to write this post is because whilst I hate breached organisations not properly investigating an incident, I also hate seeing misattribution of a breach to an innocent party. That's a particularly sore point for me right now because of this incident just last week:

I've had various public users of HIBP, commercial users and even governments reach out to ask what's going on because they were concerned about their data. Whilst this incident won't do HIBP any actual harm (and frankly, I'm stunned anyone took that story seriously), I can very easily see how misattribution can be damaging to an organisation, indeed that's a key reason why I invest so much effort into properly investigating these claims before putting anything into HIBP. But that ridiculous example is nothing compared to the amount of traction some misattributions get. Remember how just recently a couple of billion TikTok accounts had been "breached"? This made massive news headlines until...

"Lying about data breaches". Ugh, criminals are so untrustworthy! This happens all the time and when I'm not sure of the origin of a substantial breach, I often write a blog post like this and on many occasions, the masses help establish the origin. So, here goes:

The Data

Let's jump into the data, starting with 2 of the most obvious things I look for in any new data breach:

  1. The total number of unique email addresses is 51,730,831 (many records don't have this field populated)
  2. The most recent data I can find is from mid-2020 (which also speaks to the inaccuracy of the LiveRamp association)

As to the aforementioned attributes, they total 410 different columns:

AddressID
IndividualId
personfirstname
personmiddleinitial
personlastname
PersonSurnameSuffix
persontitleofrespect
housenumber
predirection
streetname
streetsuffix
postdirection
unitdesignator
unitdesignatornumber
primaryaddress
secondaryaddress
state
ZipCode
Zip_4
del_point_check_digit
msa
countycode
countyname
citynameabbr
cityname
carrier_route
censustract
censusblock
latitude
longitude
timezone
Xaxis
Yaxis
Zaxis
dpv_code
NumberOfSources
dwellingtype
secondaryaddresspresent
livingunitid
RDID
Phone
estimatedincomecode
homeownerprobabilitymodel
lengthofresidence
lengthofresidencecode
numberofpersonsinlivingunit
presenceofchildren
NumberOfChildren
ChildrenAge00_02
ChildrenAge00_02Male
ChildrenAge00_02Female
ChildrenAge00_02Unknown
ChildrenAge03_05
ChildrenAge03_05Male
ChildrenAge03_05Female
ChildrenAge03_05Unknown
ChildrenAge06_10
ChildrenAge06_10Male
ChildrenAge06_10Female
ChildrenAge06_10Unknown
ChildrenAge11_15
ChildrenAge11_15Male
ChildrenAge11_15Female
ChildrenAge11_15Unknown
ChildrenAge16_17
ChildrenAge16_17Male
ChildrenAge16_17Female
ChildrenAge16_17Unknown
persongender
persondateofbirthyear
persondateofbirthmonth
persondateofbirthday
personexactage
personagecode
Males_18_24
Females_18_24
Unknowngender_18_24
Males_25_34
Females_25_34
Unknowngender_25_34
Males_35_44
Females_35_44
Unknowngender_35_44
Males_45_54
Females_45_54
Unknowngender_45_54
Males_55_64
Females_55_64
Unknowngender_55_64
Males_65_74
Females_65_74
Unknowngender_65_74
Males_75_Plus
Females_75_Plus
Unknowngender_75_Plus
personmaritalstatus
InferredAge
occupationgroup
personoccupation
ethniccode
languagecode
ethnicgroup
religioncode
hispaniccountrycode
personeducation
businessowner
EthnicConfidenceCode
InferredHouseholdRank
NumberOfAdults
GenerationsInHousehold
PresenceOfCreditCard
presenceofgoldorplatinumcreditcard
PresenceOfPremiumCreditCard
PresenceOfUpscaleRetailCard
PresenceOfBankCard
GasDeptRetailCardHolder
americanexpresscard
CreditRating
investment
investmentstocksecurities
Networth
NumberOfLinesOfCredit
Credit_RangeOfNewCredit
AmericanExpressGoldPremium
DiscoverGoldPremium
DiscoverRegular
GasolineOrRetailCardGoldPremium
GASOLINE OR RETAIL CARD REGULAR
MastercardGoldPremium
MastercardRegular
VisaGoldPremium
VisaRegular
CREDIT CARD INDICATOR
BANK CARD HOLDER
GAS/DEPARTMENT/RETAIL CARD HOLDER
TravelAndEntertainmentCardHolder
CreditCardholderUnknownType
PREMIUM CARD HOLDER
UPSCALE (DEPARTMENT STORE) CARD HOLDER
CreditCardUser
CreditCardNewIssue
BANK CARD - PRESENCE IN HOUSEHOLD
Investing_Active
InvestmentsPersonal
InvestmentsRealEstate
InvestingFinanceGrouping
InvestmentsForeign
InvestmentEstimatedResidentialPropertiesOwned
AssimilationCodes
valuehunter
opportunityseekers
newsandfinancial
automotivebuff
bookreader
MembershipClub
computerowner
cookingenthusiast
do_it_yourselfers
exerciseenthusiast
Gardener
golfenthusiasts
homedecoratingenthusiast
outdoorenthusiast
outdoorsportslover
photography
traveler
pets
cats
dogs
mailresponder
RespondedtoCatalog
sweepstakes
religiousmagazine
malemerchbuyer
femalemerchbuyer
crafts_hobbmerchbuyer
gardening_farmingbuyer
bookbuyer
collect_specialfoodsbuyer
religiouscontributor
politicalcontributor
health_institutioncontributor
charitable
generalcontributor
donatestoenvironmentalcauses
donatesbymail
veteraninhousehold
HeavyBusinessTravelers
hightechleader
Smoker
MailOrderBuyer
OnlinePurchasingIndicator
ApparelWomens
ApparelWomensPetite
ApparelWomensPlusSizes
YoungWomensApparel
ApparelMens
ApparelMensBigAndTall
YoungMensApparel
ApparelChildrens
HealthAndBeauty
BeautyCosmetics
Jewelry
Luggage
COMMUNITY INVOLVEMENT - CAUSES SUPPORTED FINANCIALLY
AnimalWelfareCharitableDonation
ArtsOrCulturalCharitableDonation
ChildrensCharitableDonation
ENVIRONMENT OR WILDLIFE CHARITABLE DONATION
EnvironmentalIssuesCharitableDonation
InternationalAidCharitableDonation
PoliticalCharitableDonation
PoliticalConservativeCharitableDonation
PoliticalLiberalCharitableDonation
VeteransCharitableDonation
CharitableDonations_Other
CommunityCharities
Parenting
SingleParent
ChildrensApparelInfantsAndToddlers
ChildrensLearningAndActivityToys
ChildrensProductsGeneralBabyCare
ChildrensProductsGeneralBackToSchool
ChildrensProductsGeneral
YoungAdultInHousehold
SeniorAdultInHousehold
ChildrensInterests
Grandchildren
ChristianFamilies
Equestrian
OtherPetOwner
CareerImprovement
WorkingWoman
AfricanAmericanProfessionals
SohoIndicator
Career
BooksAndMagazinesMagazines
BooksAndMusicBooks
BooksAndMusicBooksAudio
ReadingGeneral
READING - RELIGIOUS / INSPIRATIONAL
ReadingScienceFiction
ReadingMagazines
ReadingAudioBooks
ReadingGrouping
HistoryMilitary
CurrentAffairsPolitics
ReligiousInspirational
ScienceSpace
Magazines
EducationOnline
Gaming
ComputingHomeOfficeGeneral
DVDsVideos
ElectronicsandComputingTVVideoMovieWatcher
ElectronicsComputingAndHomeOffice
HighEndAppliances
IntendToPurchaseHDTVSatelliteDish
MusicHomeStereo
MusicPlayer
MusicCollector
MusicAvidListener
MovieCollector
TVCable
GamesVideoGames
TVSatelliteDish
COMPUTERS
GamesComputerGames
ConsumerElectronics
MovieMusicGrouping
ElectronicsComputersGrouping
Telecommunications
ArtsAndAntiquesAntiques
ArtsAndAntiquesArt
TheaterPerformingArts
Arts
Musicalinstruments
CollectiblesGeneral
CollectiblesStamps
CollectiblesCoins
CollectiblesArts
CollectiblesAntiques
CollectorAvid
CollectiblesandAntiquesGrouping
CollectiblesSportsMemorabilia
MilitaryMemorabiliaWeaponry
LifestylesInterestsandPassionsCollectibles
Autowork
SewingKnittingNeedlework
Woodworking
Aviation
HousePlants
Crafts
HomeandGarden
GARDENING
GARDENING2
HomeImprovementGrouping
PhotographyAndVideoEquipment
HomeFurnishingsDecorating
HomeImprovement
IntendtoPurchaseHomeImprovement
FoodWines
CookingGeneral
COOKING - GOURMET
FoodsNatural
CookingFoodGrouping
GamesBoardGamesPuzzles
GamingCasino
TravelGrouping
TRAVEL
TravelDomestic
TravelInternational
TravelCruiseVacations
HomeLiving
DIYLiving
SportyLiving
UpscaleLiving
CulturalArtisticLiving
Highbrow
HIGH-TECH LIVING
CommonLiving
ProfessionalLiving
BroaderLiving
ExerciseHealthGrouping
ExerciseRunningJogging
ExerciseWalking
ExerciseAerobic
SpectatorSportsAutoMotorcycleRacing
SpectatorSportsTVSports
SpectatorSportsFootball
SpectatorSportsBaseball
SpectatorSportsBasketball
SpectatorSportsHockey
SpectatorSportsSoccer
Tennis
Snowskiing
Motorcycling
Nascar
BoatingSailing
ScubaDiving
SportsandLeisure
Hunting
Fishing
CampingHiking
HuntingShooting
SportsGrouping
OutdoorsGrouping
HealthMedical
DietingWeightLoss
SelfImprovement
AutomotiveAutoPartsAndAccessories
RDI
homeswimmingpoolindicator
airconditioning
homeheatindicator
homepurchaseprice
homepurchasepricecode
homepurchasedateyear
homepurchasedatemonth
homepurchasedateday
homeyearbuilt
estimatedcurrenthomevaluecode
mortgageamountinthousands
mortgageamountinthousandscode
mortgagelendername
mortgagelendernameavailable
mortgagerate
mortgageratetype
mortgageloantype
transactiontype
deeddateofrefinanceyear
deeddateofrefinancemonth
deeddateofrefinanceday
refinanceamountinthousands
refinanceamountinthousandscode
refinancelendername
refinancelendernameavailable
refinanceratetype
refinanceloantype
CensusMedianHomeValue
CensusMedianHouseholdIncome
CRA_IncomeClassificationCode
MostRecentMortgageAmount2nd
Purchase2ndMortgageAmount
MostRecentMortgageDate2nd
PurchaseMortgageDate
MostRecentMortgage2ndLoanTypeCode
Purchase2ndMortgageLoanTypeCode
MostRecentLenderCode
MostRecent2ndLenderCode
PurchaseLenderCode
MostRecentLenderName2nd
PURCHASE LENDER NAME
MostRecentMortgage2ndInterestRateType
Purchase2ndMortgageInterestRateType
MostRecentMortgageInterestRate
MostRecentMortgage2ndInterestRate
Purchase2ndMortgageInterestRate
Sewer
Water
LoanToValue
PassProspectorValueHomeValueMortgageFile
EMAILFLAG
NCOA_Effective_date
DONOTCALL
NAME
EMAIL
URL
IP
DATE
view raw NotAcxiom.txt hosted with ❤ by GitHub

To my eye, this data is very generic and looks like a superset of information that may be collected across a large number of people. For example, the sort of data requested when filling out dodgy online competitions. However, unlike many large corpuses of aggregated data I've seen in the past, this one is... neat. For example, here's a little sample of the first 5 columns (redaction of some chars with a dash), note how the names are all uniformly presented:

120321486,4,BE-----,B,TAYLOR
120321487,2,JOY,M,----EY
120321466,1,DOYLE,E,------HAM
120321486,3,L----,,TAYLOR
120321486,2,R---,M,TAYLOR

Sure, this is just uppercasing characters but over and over again, I found data that was just too neat. The addresses. The phone numbers. Everything about it was far to curated to simply be text entered by humans. My suspicion is that it's likely a result of either a very refined collection process or in the case of addresses, matched using a service to resolve the human-entered address to a normalised form stored centrally.

Perhaps what I was most interested in though was the URL column as that seems to give some indication of where the data might have come from. I queried out the top 100 most common ones and took a look:

DIRECTEDUCATIONCENTER.COM 661118
originalcruisegiveaway.com 539101
free-ukstuff.com 383523
findyourdegreenow.com 375841
getmysolarpower.com 343505
disabilitybenefitscenter.org 319822
PDILOANS.COM 243174
TAGGED.COM 237474
GadgetCenter.us.com 227834
youreducationsearch.com 226130
COUPONDISCOUNTCLUB.COM 226012
collegedegreesforme.com 214123
bestnetfreebies.com 209096
popularliving.com 203610
ONLINEDEGREERADAR.COM 201212
123freetravel.com 195579
persopo.com/assembling-report/ready 184637
insuranceforallonline.com 174576
homepowerprofits.com 167702
dermologykit.com/ 166653
getcashhelp.com 163817
EMPLOYMENTSEARCHUSA.COM 159505
lowcostinsuranceguide.com 158838
coolsavings.com 158597
FILEFORGRANTS.COM 156478
INSUREDATLAST.COM 151221
progressivebusinesssystems.com 149282
SAVEANDSMILE.COM 146055
ProjectPayday.com 145770
getlife-insurance.com 143934
PAYDAYLOANEVERYDAY.COM 142469
ALLSTATESDEBT.COM 140008
SNAPPYCARINSURANCE.COM 138858
CONSUMERREWARDS.US.COM 135912
progressivejoblistings.com 135194
quickquid.co.uk 133676
yourfreequotes.com 131949
publicsurveypanel.com 130969
bigvacationgiveaway.com 130687
selfwealthsystem.com 129609
IMMEDIATEPAYCHECK.COM 128145
alwayscashloans.com 126180
cosmeticsplace.net 126099
individualhealthquotes.com 124813
emortgagefinders.com 124173
CAREERANDEDUCATIONCENTER.COM 123968
AttentionShoppers.us.com 123087
jobs-resource.com 122473
insureqlick.com 120876
therefiadvisor.com 120431
SAMPLESANDREBATES.COM 120281
HBWM.COM 119916
buy.com 118839
elitecashwire.com 118086
planetminecraft.com 117109
NEWSTARTEDUCATION.COM 112161
creditreport.com 111162
instantadvancepay.com 110439
I-DEALREWARDS.COM 110053
cashexpert.com 109992
NEWBEGINNINGCREDIT.COM 109553
CREDITREPAIR.COM 107834
cashlendernetwork.com 107559
homepayopportunity.com 107303
courseadvisor.com 106588
HIGHEREDUCATIONSEEKER.COM 106290
dailyhealthcentral.com 104354
GETYOURCHECKTODAY.COM 104026
CARDAPPROVALUSA.COM 103484
findaquote.net 102488
extraincomehelps.com 102264
HOMEOPPORTUNITYCENTRAL.COM 101655
icoulduseajob.com 101643
ifortunebuilder.com 101274
BOXLOTTO.COM 101155
PAYCHECKADVANCETODAY.COM 101094
healthplanwiz.com 100523
grandsavingscenter.com 99913
elitecareerseekers.com 99436
discountclubfinder.com 98843
nationalcreditreport.com 98489
cashadvance.com 98407
freecreditclick.com 98343
37clicks.com 97157
myshopdiscounts.com 96817
consumergiftcenter.us.com 96489
cashgalore.net 96154
disabilityapprovalguide.com 94873
couponclipclub.com 94129
paydaycashnet.com 94000
careersmaster.com 93905
targetedcareer.com 93613
greenpayday.com 93358
timelypayday.com 93158
nationalpayday.com 92856
creditfixerscentral.com 92127
collegefindercenter.com 91664
PINNACLEINSURANCESELECT.COM 90965
overnightpaycheck.com 90900
betterinsurancechoice.com 90849
view raw TopUrls.txt hosted with ❤ by GitHub

Eyeballing them, I couldn't help feel that my earlier hunch was on the money - "dodgy online competitions". Not just competitions but a general theme of getting stuff for cheap or more specifically, services that look like they've been built to entice people to part with their personal data.

Take the first one, for example, DIRECTEDUCATIONCENTER.COM. That's a dead domain as of now but check out what it looked line in March last year:

Data Breach Misattribution, Acxiom & Live Ramp

"I may be contacted by trusted partners and others". What's "others"? Untrusted partners? 🤷‍♂️

Let's try the next one being originalcruisegiveaway.com and again, the site is now gone so it's back over to archive.org:

Data Breach Misattribution, Acxiom & Live Ramp

It's different, but somehow the same. Clicking through to the claim form, it seems the only way you can enter is if you agree to receive comms from all sorts of other parties:

Data Breach Misattribution, Acxiom & Live Ramp

Ok, one more, this time free-ukstuff.com which is also now a dead site, and not even indexed by archive.org. Next then, is findyourdegreenow.com which is - you're not gonna believe this - a dead site! Here's what it used to look like:

Data Breach Misattribution, Acxiom & Live Ramp

And again, it feels the same. Same same, but different.

To try and get a sense of how localised this data was, I queried out all the values in the "state" column. Is this a US-only data set? If that column is anything to go by, yes:

FL 6437401
NY 4993674
PA 3739490
OH 3682141
MI 3116317
IL 3090785
NC 2983682
GA 2948814
NJ 2491437
VA 2108951
TN 1908740
MA 1851699
IN 1745983
MD 1690860
WI 1514865
AL 1480549
SC 1419050
MN 1345208
KY 1177492
CT 1119214
IA 834467
MS 813945
WV 434235
NH 371007
ME 348067
RI 323712
DE 311583
MT 239079
SD 195377
DC 156791
ND 153180
VT 135487
AE 311
PR 157
VI 13
view raw TopStates.txt hosted with ❤ by GitHub

Something didn't add up when I first saw that and after a quick check of the population of each US state, it become immediately obvious: there's no California, the most populous state in the country. Nor Texas, the second most populous state. In fact, with only 35 rows there's a bunch of US states missing. Why? Who knows, the only thing I can say for sure is that this is a subset of the population with some glaring geographical omissions.

Then there's another curveball - what about the URL quickquid.co.uk, that doesn't look very US-centric. Heading over there redirects to casheuronetukadministration.grantthornton.co.uk which advises that as of last month, "The Administration of CashEuroNet UK, LLC has closed and the Joint Administrators have ceased to act". So something has obviously been wound up, wonder what was there originally? I had to go back a few years to find this:

Data Breach Misattribution, Acxiom & Live Ramp

To my mind, this is more of the same ilk in terms of a service targeted at people after quick money. But it's clearly all in GBP and with a .co.uk TLD, this being right after I've just said all the states are in the US, what gives? Back to the source data, filter out the records based on that URL and sure enough, everyone has a US address. Grabbing a random selection of IP addresses had them all resolving to the US too so I have absolutely no idea how his geographically inconsistent set of data came to being.

And that's really the theme across the data set when doing independent analysis - how is this so? What service or process could have pulled the data together in this way? Maybe the people who this data actually refers to will have the answers, let's go and ask them.

Responses From Impacted HIBP Subscribers

We're approaching 4.5M subscribers to HIBP's free notification service now which makes for a great corpus of people I can reach out to when doing breach verification. I grabbed a handful of addresses from this data set and asked them if they could help out. I sent those that responded positively their full record and asked some questions about the legitimacy of the data, and where they thought it might have come from, here's what they said:


1. The data is mostly accurate.

A few things are off, such as date of birth (could very well be a fake one I've entered before) and details of household members.

There are a lot of columns with single-letter values, which I can't verify without knowing what they mean.

But overall, it's quite accurate.

2. No idea where it came from, sorry. There is a URL in the third-to-last column, but it doesn't seem like a website I would have used before.


I looked through the csv file and couldn't find anything I recognized. I saw the names [redacted], [redacted] and [redacted]- I don't know anyone by those names. I live in Ontario, Canada, but addresses in the file were located in the united states.

Data says I have one child between the ages of 0 and 2, but that's not true - my only son is five. Birth date is wrong - my birthday is [redacted], but the file says [redacted].

There were a few urls in the file and I don't recognize any of them.

Not sure if this last thing is relevant or not. I sometimes get emails intended for other people. I searched my inboxes for the names [redacted] and [redacted]. Nothing came up for [redacted], but I do see an email for [redacted] from [redacted]. I searched through the csv to see if anything matched the data in the email (member number, confirmation number), but nothing matched.

I also noticed that although my email address ([redacted]) is in the csv data, there's also another email address ([redacted]) which is not mine.

I'm not sure if that's helpful or not, but if there's anything more I can do, let me know. :)


As far as name and address they are correct.  number of ppl living at the house has changed.  The other information I can't seem to understand what the information for example under column AQ row 2 it has a U and I don't know what the U is for.  I have noticed that some information is really outdated, so I wouldn't know where the data originated from.


Thank you for sharing, I took a look at the data, let me see if I can answer your questions:

1. While that is my email, the rest of the data actually belongs to an immediate family member. With the exception of a few outdated fields, the data on my family member is correct.

2. I am unfamiliar with Acxiom and am unsure of where this data originated from. I want to note that I have recently been doxxed and have reason to believe data breaches may have been used; however, the data you've provided here was not used in the attacks, to my knowledge.

Please let me know if you have any other questions, or if there is anything else I may do to help.


"Mostly accurate". The feeling I have when reading this is that whoever is responsible for this corpus of data has put it together from multiple sources and quite likely made some assumptions along the way. I can picture how that would happen; imagine trying to match various sources of data based on human-provided text fields in order to "enrich" the collection.

Analysis by Acxiom

This isn't the fist time Acxiom has had to deal with misattribution, and they'd seen exactly the same data set passed around before. Think about it from their perspective: every time there's a claim like this they need to treat it as though it could be legitimate, because we've all seen what happens when an organisation brushes off a disclosure attempt (I could literally write a book about this!) Thus it becomes a burdensome process for them as they repeat the same analysis over and over again, each time drawing the same conclusion.

And what was that conclusion? Simply put, the circulating data didn't align with their own. They're in the best position of all of us to draw that conclusion as they have access to both data sets and whilst I suspect some people may retort with "how do you know you can trust them", not only do I not have a good reason to doubt their findings, I also don't have a good reason to attribute it to them. Every reference I've seen to Acxiom has been from whoever is handing the data around; I've been able to find absolutely nothing within the data set itself to tie it back to them. In almost all breaches I've processed, the truth is in the data and there's nothing here that points the finger at them.

I offered Acxiom the opportunity to further clarify their position with a statement which I've included in its entirety here:

“Acxiom has worked to build a reputation over the course of fifty years for having the highest standards around data privacy, data protection and security. In the past, questionable organizations have falsely attached our name to a data file in an attempt to create a deceitful sense of legitimacy for an asset. In every instance, Acxiom conducts an extensive analysis under our cyber incident response and privacy programs. These programs are guided by stakeholders including working with the appropriate authorities to inform them of these crimes.  The forensic review of the case that Troy has looked into, along with our continuous monitoring of security, means we can conclusively attest that the claims are indeed false and that the data, which has been readily available across multiple environments, does not come from Acxiom and is in no way the subject of an Acxiom breach.

Acxiom’s Commitment To Data Protection/ Data Privacy:
We value consumer privacy.   U.S. consumers who would like to know what information Acxiom has collected about them and either delete it or opt out of Acxiom’s marketing products, may visit acxiom.com/privacy for more information.”

Summary

The email addresses from the data set have now been loaded into HIBP and are searchable. One point of note that became evident after loading the data is that 94% of the email addresses has already been pwned. That's a very high number (a quick look through the HIBP Twitter feed shows the count is normally between 40% and 80%), and it suggests that this corpus of data may be at least partially constructed from other data already in circulation.

Because the question will inevitably come up, no, I won't send you your full record, I simply don't have the capacity to operate as a personal data lookup and delivery service. I know it's frustrating finding yourself in a breach like this and not being able to take any action, all you can really do at this point is treat it as another reminder of how our data spread around the web and often, we have no idea about it.

Full disclosure: I have absolutely no commercial interest in Acxiom, no money has changed hands and I wasn't incentivised in any way, I just want everyone to have a much healthier suspicion when alleging the source of a data breach 🙂

Article: Data Breach Misattribution, Acxiom & Live Ramp - published almost 3 years ago.

https://www.troyhunt.com/data-breach-misattribution-acxiom-live-ramp/   
Published: 2022 11 22 20:06:51
Received: 2023 02 09 08:40:37
Feed: Troy Hunt's Blog
Source: Troy Hunt's Blog
Category: Cyber Security
Topic: Cyber Security
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