for cloud back-end security vulnerabilities , this time in a new reportVulnerability-related.DiscoverVulnerabilityfrom Appthority . The company published investigation results that found nearly 43 TB of enterprise data was exposedAttack.Databreachon cloud back-ends , including personally identifiable information ( PII ) . This comes just shortly after a similar report from a different security company . In the new `` 2017 Q2 Enterprise Mobile Threat Report '' report ( free upon providing registration info ) , Appthority found `` data leakageAttack.Databreach`` from mobile apps that send data to unsecured cloud back-ends . While security concerns typically focus on a triad of other factors -- apps , device threats and network threats -- this data leakageAttack.Databreachon the back-end was dubbed the `` HospitalGown '' threat because of that garment 's open back-end . `` In total , we foundVulnerability-related.DiscoverVulnerabilityalmost 43 TB of data exposedAttack.Databreachand 1,000 apps affectedVulnerability-related.DiscoverVulnerabilityby the HospitalGown vulnerability , '' Appthority saidVulnerability-related.DiscoverVulnerabilityin a blog post last week . `` Looking at a subset of 39 apps , we still found 280 million records exposedAttack.Databreach, a total of about 163 GB of data . This is a staggering amount of leaked information , and in some cases represents the entirety of customer or operational data for an enterprise . '' The reportVulnerability-related.DiscoverVulnerabilityechoes the findings of an earlier reportVulnerability-related.DiscoverVulnerabilityby RedLock Inc. , which revealedVulnerability-related.DiscoverVulnerabilitymany security issues primarily caused by user misconfigurations on public cloud platforms . RedLock claimed it found 82 percent of hosted databases remain unencrypted , among many other problems . As with the RedLock reportVulnerability-related.DiscoverVulnerability, developers were blamedVulnerability-related.DiscoverVulnerabilityfor the HospitalGown vulnerabilities. `` HospitalGown is a vulnerability to data exposure caused , not by any code in the app , but by the app developers ' failure to properly secure the back-end ( hence its name ) servers with which the app communicates and where sensitive data is stored , '' Appthority said . Unsecured Elasticsearch servers and MongoDB databases were prime targets of a series of ransomware attacksAttack.Ransomearlier this year that generated widespread publicity in the security field . However , that publicity apparently was n't enough to significantly alleviate the issue . `` As our findings show , weakly secured back-ends in apps used by employees , partners and customers create a range of security risks including extensive data leaksAttack.Databreachof personally identifiable information ( PII ) and other sensitive data , '' the report states . `` They also significantly increase the risk of spear phishingAttack.Phishing, brute force login , social engineering , data ransomAttack.Ransom, and other attacks . And , HospitalGown makes data accessAttack.Databreachand exfiltrationAttack.Databreachfar easier than other types of attacks . '' Key findings of the report as listed by the company include : Affected apps are connecting to unsecured data stores on popular enterprise services , such as Elasticsearch and MySQL , which are leakingAttack.Databreachlarge amounts of sensitive data . Apps using just one of these services revealed almost 43TB of exposed data . Multiple affected apps leakedAttack.Databreachsome form of PII , including passwords , location , travel and payment details , corporate profile data ( including employees ' VPN PINs , emails , phone numbers ) , and retail customer data . Enterprise security teams do not have visibility into the risk due to the risk 's location in the mobile app vendor 's architecture stack . In multiple cases , data has already been accessedAttack.Databreachby unauthorized individuals and ransomedAttack.Ransom. Even apps that have been removed from devices and the app stores still pose an exposureAttack.Databreachrisk due to the sensitive data that remains stored on unsecured servers . The company saidVulnerability-related.DiscoverVulnerabilityits Mobile Threat Team identifiedVulnerability-related.DiscoverVulnerabilitythe HospitalGown vulnerabilities with a combination of its dynamic app analysis tool and a new back-end scanning method , looking at the network traffic on more than 1 million enterprise mobile apps , both iOS and Android . As with the misconfiguration problems identifiedVulnerability-related.DiscoverVulnerabilityin the RedLock reportVulnerability-related.DiscoverVulnerability, Appthority emphasizedVulnerability-related.DiscoverVulnerabilitythat all cases of HospitalGown vulnerabilities were caused by human errors , not malicious intent or inherent infrastructure problems . That human error was especially prevalent in two app implementations investigated by Appthority : Pulse Workspace ( for accessing enterprise network and Web applications ) and Jacto apps ( from an agricultural machinery company ) .