I'm not convinced this is LinkedIn spying on users... rather, it's them protecting its users from the spammy people using these extensions. There's not a single extensions on that list that doesn't result in someone getting an unsolicited email.
I'm not convinced this is LinkedIn spying on users... rather, it's them protecting its users from the spammy people using these extensions. There's not a single extensions on that list that doesn't result in someone getting an unsolicited email.
daxtra
SalesloftProspector
SalesLoftCadence
discoverly
Ecquire
Ebstabullhorn
EbstaSalesforce
ProspectHive
talentbin
Entelo
Nimble
amazinghiring
colabo extension
StepWells(colabo)
found.ly
datananas
Linkedin-Hubspot Connector
dux-soup(fixed)
data Scraper
aevy
Lusha
Lead Generator
Candidate.ai
Email Hunter
Prospectify
iMacros
Prophet
Leadiq
HirEtuaL
Contact Out
Prospect.io
saleslift.io
Skrapp
Slik
CleverStaff
Linked Helper
Get Email
Sourcehub
Salestools
SellHack
Sourcebreaker
turboHiring
LinMailPro
LinMailNavigator
Leonard for Linkedin
LinkeLead
Loxo Social import
Jlenty
Social2Sugar
Emply
Linkedroid
eLink Pro
LinkMatch for zoho CrM
LinkMatch for zoho recruit
inkMatch for CatS
LinkMatch for PCrecruiter
LinkMatch for Pipedrive
LinkMatch for Greenhouse
Snapaddy Grabber
ramper
Linklead.io
alore.io
Hr-Skyen
SeekOut
Leadkedin
icebreaker
Spider for Linkedin
recruiterNerd
Crelate
EyeMail
Sales Lead Multiplier
Email Finder
Linkedin assistant Lily
auto Connect tools Lily
adapt Prospector
Leadconnect
Linkedbot
People.camp
instant data Scraper
LinkMe tool
adorito
gay2sms
Lusha (FireFox Extension)
LinkedPro
LeadGibbon
Socialbff
And here's the code you can run yourself: https://pastebin.com/Ux684VtLThat's a malware, isn't it?
Nimble is just a CRM. Their extension does not crawl for email addresses, as far as I remember. Why does linkedIn need to "protect its users" from it? Isn't it rather to protect itself against the competition?
That's pretty ballsy to bring up in a defense of LinkedIn.
...and then the scrapers replicate interaction with that app instead. UI automation isn't hard these days.
Ultimately they need to police actual negative behaviour, not the mechanics of how people are doing it. But that means potentially restricting engagement of some of their most active users as well.
Why is obscurity OK in these situations? Wouldn't we all benefit with removing scammers if everyone legitimate worked together in the public? Its easy to defeat a single adversary. Its mighty hard to defeat a cooperating team.
Fighting abuse is different. The abusers are using the same request endpoints that the real users are, but just in a way that the service provider doesn't approve of. (Whether it's sending spam, payment fraud, scraping, or something else). There's no single hole to plug, unless you block all the requests outright which also affects real users. Instead you have to classify the incoming traffic, find out the abusive subset, and then act on it appropriately. But unlike with vulnerabilities this doesn't solve the problem permanently.
The moment attackers find out which signals are used by a site, they can start faking them or working around the signals. As a simple example, early email spam classifiers worked by simple matching against a blacklist of highly spammy terms. So the spam adapted to using creative mis-spellings like "v1agra".
Other companies are making money with these extensions on LinkedIn's website and LinkedIn is not happy about it