Ricoh Interactive Whiteboard Controller Type1 sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Ricoh Interactive Whiteboard D2200, Interactive Whiteboard D5500, Interactive Whiteboard D5510 and Interactive Whiteboard Controller Type1. Affected by this issue is some unknown functionality. This manipulation causes sql injection. The identification of this vulnerability is CVE-2018-16188. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical was found in Ricoh Interactive Whiteboard D2200, Interactive Whiteboard D5500, Interactive Whiteboard D5510 and Interactive Whiteboard Controller Type1 (Forum Software) (affected version unknown). Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

SQL injection vulnerability in the RICOH Interactive Whiteboard D2200 V1.3 to V2.2, D5500 V1.3 to V2.2, D5510 V1.3 to V2.2, the display versions with RICOH Interactive Whiteboard Controller Type1 V1.3 to V2.2 attached (D5520, D6500, D6510, D7500, D8400), and the display versions with RICOH Interactive Whiteboard Controller Type2 V3.0 to V3.1.10137.0 attached (D5520, D6510, D7500, D8400) allows remote attackers to execute arbitrary SQL commands via unspecified vectors.

The bug was discovered 11/27/2018. The weakness was shared 01/09/2019 (Website). It is possible to read the advisory at jvn.jp. This vulnerability is known as CVE-2018-16188 since 08/30/2018. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 43 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.

The entries VDB-128895, VDB-128896, VDB-128897 and VDB-128898 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

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

NVD Base Score: 9.8
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: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
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

08/30/2018 🔍
11/27/2018 +89 days 🔍
01/09/2019 +43 days 🔍
01/09/2019 +0 days 🔍
01/10/2019 +1 days 🔍
04/27/2020 +473 days 🔍

Sourcesinfo

Advisory: jvn.jp
Status: Not defined

CVE: CVE-2018-16188 (🔍)
GCVE (CVE): GCVE-0-2018-16188
GCVE (VulDB): GCVE-100-128899
See also: 🔍

Entryinfo

Created: 01/10/2019 14:01
Updated: 04/27/2020 17:02
Changes: 01/10/2019 14:01 (59), 04/27/2020 17:02 (1)
Complete: 🔍
Cache ID: 216::103

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

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