IBM Security Secret Server 10.7 Attribute channel accessible

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.
3.7$5k-$25k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in IBM Security Secret Server 10.7. Affected is an unknown function. The manipulation as part of Attribute leads to channel accessible. This vulnerability is traded as CVE-2019-4638. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in IBM Security Secret Server 10.7. It has been rated as problematic. This issue affects an unknown code. The manipulation as part of a Attribute leads to a channel accessible vulnerability. Using CWE to declare the problem leads to CWE-300. The product does not adequately verify the identity of actors at both ends of a communication channel, or does not adequately ensure the integrity of the channel, in a way that allows the channel to be accessed or influenced by an actor that is not an endpoint. Impacted is confidentiality. The summary by CVE is:

IBM Security Secret Server 10.7 does not set the secure attribute on authorization tokens or session cookies. This could allow an attacker to obtain sensitive information using man in the middle techniques. IBM X-Force ID: 170044.

The weakness was shared 01/28/2020 (Website). The advisory is shared at exchange.xforce.ibmcloud.com. The identification of this vulnerability is CVE-2019-4638 since 01/03/2019. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/29/2020). It is expected to see the exploit prices for this product increasing in the near future.MITRE ATT&CK project uses the attack technique T1557 for this issue.

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

The entries VDB-149490, VDB-149487, VDB-149486 and VDB-149485 are related to this item. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.7
VulDB Meta Temp Score: 3.7

VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 3.7
NVD Vector: 🔍

CNA Base Score: 3.7
CNA Vector (IBM Corporation): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Channel accessible
CWE: CWE-300
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

01/03/2019 🔍
01/28/2020 +390 days 🔍
01/29/2020 +1 days 🔍
03/27/2024 +1519 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: exchange.xforce.ibmcloud.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2019-4638 (🔍)
GCVE (CVE): GCVE-0-2019-4638
GCVE (VulDB): GCVE-100-149489
X-Force: 170044

See also: 🔍

Entryinfo

Created: 01/29/2020 06:49
Updated: 03/27/2024 09:46
Changes: 01/29/2020 06:49 (40), 01/29/2020 06:54 (11), 03/27/2024 09:44 (16), 03/27/2024 09:46 (17)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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