Uber UberEATS: Uber for Food Delivery 1.108.10001 on iOS hard-coded credentials

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.4$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Uber UberEATS: Uber for Food Delivery 1.108.10001 on iOS. The affected element is an unknown function. Performing a manipulation results in hard-coded credentials. This vulnerability is identified as CVE-2017-13104. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability classified as critical has been found in Uber UberEATS: Uber for Food Delivery 1.108.10001 on iOS (iOS App Software). This affects an unknown code. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. CWE is classifying the issue as CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Uber Technologies, Inc. UberEATS: Uber for Food Delivery, 1.108.10001, 2017-11-02, iOS application uses a hard-coded key for encryption. Data stored using this key can be decrypted by anyone able to access this key.

The bug was discovered 08/14/2018. The weakness was released 08/15/2018 as confirmed advisory (CERT.org). It is possible to read the advisory at kb.cert.org. This vulnerability is uniquely identified as CVE-2017-13104 since 08/22/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Entries connected to this vulnerability are available at VDB-122927, VDB-122928, VDB-122929 and VDB-122930. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.4
VulDB Meta Temp Score: 7.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Hard-coded credentials
CWE: CWE-798 / CWE-259 / CWE-255
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/22/2017 🔍
08/14/2018 +357 days 🔍
08/15/2018 +0 days 🔍
08/15/2018 +0 days 🔍
08/16/2018 +1 days 🔍
01/21/2025 +2350 days 🔍

Sourcesinfo

Advisory: kb.cert.org
Status: Confirmed

CVE: CVE-2017-13104 (🔍)
GCVE (CVE): GCVE-0-2017-13104
GCVE (VulDB): GCVE-100-122931
CERT: 🔍

See also: 🔍

Entryinfo

Created: 08/16/2018 06:25
Updated: 01/21/2025 04:52
Changes: 08/16/2018 06:25 (60), 03/15/2020 21:42 (1), 01/21/2025 04:52 (17)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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