Cells Blog 3.5 pub_readpost.php fmid cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Cells Blog 3.5. This vulnerability affects unknown code of the file pub_readpost.php. Performing a manipulation of the argument fmid as part of Parameter results in cross site scripting. This vulnerability is reported as CVE-2017-17949. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Cells Blog 3.5 (Blog Software). It has been classified as problematic. This affects an unknown functionality of the file pub_readpost.php. The manipulation of the argument fmid as part of a Parameter leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:

Cells Blog 3.5 has XSS via the pub_readpost.php fmid parameter.

The bug was discovered 12/26/2017. The weakness was disclosed 12/28/2017 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2017-17949 since 12/28/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 2 days. During that time the estimated underground price was around $0-$5k. By approaching the search of inurl:pub_readpost.php it is possible to find vulnerable targets with Google Hacking.

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

The entries VDB-111146 and VDB-111148 are pretty similar. 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: 5.2
VulDB Meta Temp Score: 5.2

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

NVD Base Score: 6.1
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: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Google Hack: 🔍

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

12/26/2017 🔍
12/28/2017 +2 days 🔍
12/28/2017 +0 days 🔍
12/28/2017 +0 days 🔍
12/29/2017 +1 days 🔍
12/18/2019 +719 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2017-17949 (🔍)
GCVE (CVE): GCVE-0-2017-17949
GCVE (VulDB): GCVE-100-111147
See also: 🔍

Entryinfo

Created: 12/29/2017 11:42
Updated: 12/18/2019 15:19
Changes: 12/29/2017 11:42 (60), 12/18/2019 15:19 (1)
Complete: 🔍
Cache ID: 216::103

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

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