IBM API Connect 5.0.7/5.0.8 Parameter information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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.
4.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in IBM API Connect 5.0.7/5.0.8 and classified as problematic. The impacted element is an unknown function. The manipulation as part of Parameter leads to information disclosure. This vulnerability is referenced as CVE-2017-1785. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in IBM API Connect 5.0.7/5.0.8 (Automation Software) and classified as problematic. This issue affects an unknown part. The manipulation as part of a Parameter leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

IBM API Connect 5.0.7 and 5.0.8 could allow an authenticated remote user to modify query parameters to obtain sensitive information. IBM X-Force ID: 136859.

The bug was discovered 02/02/2018. The weakness was published 02/07/2018 (Website). It is possible to read the advisory at ibm.com. The identification of this vulnerability is CVE-2017-1785 since 11/30/2016. The exploitation is known to be easy. The attack may be initiated remotely. A simple authentication is necessary for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/02/2021). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 5 days. During that time the estimated underground price was around $5k-$25k.

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

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

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 4.3
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: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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

11/30/2016 🔍
02/02/2018 +429 days 🔍
02/07/2018 +5 days 🔍
02/07/2018 +0 days 🔍
02/08/2018 +1 days 🔍
02/02/2021 +1090 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-1785 (🔍)
GCVE (CVE): GCVE-0-2017-1785
GCVE (VulDB): GCVE-100-112955
X-Force: 136859

Entryinfo

Created: 02/08/2018 06:52
Updated: 02/02/2021 16:51
Changes: 02/08/2018 06:52 (58), 01/02/2020 15:43 (2), 02/02/2021 16:51 (2)
Complete: 🔍
Cache ID: 216::103

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

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