Appointment Scheduler 3.0 pjActionAjaxSend resource consumption

HistoryDiffrelatejsonxmlCTI

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 (≈) 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.
5.8	$0-$5k	0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Appointment Scheduler 3.0. This affects the function pjActionAjaxSend. The manipulation leads to resource consumption. This vulnerability is traded as CVE-2023-48840. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in Appointment Scheduler 3.0 (Appointment Software). It has been rated as problematic. This issue affects the function pjActionAjaxSend. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:

A lack of rate limiting in pjActionAjaxSend in Appointment Scheduler 3.0 allows attackers to cause resource exhaustion.

The weakness was shared 12/07/2023 as 176056. It is possible to read the advisory at packetstormsecurity.com. The identification of this vulnerability is CVE-2023-48840 since 11/20/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

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

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-52871). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Appointment Software

Name

Appointment Scheduler

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.8

VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

11/20/2023 🔍
12/07/2023 +17 days 🔍
12/07/2023 +0 days 🔍
03/02/2026 +816 days 🔍

Sourcesinfo

Advisory: 176056
Status: Not defined

CVE: CVE-2023-48840 (🔍)
GCVE (CVE): GCVE-0-2023-48840
GCVE (VulDB): GCVE-100-247139
EUVD: 🔍

Entryinfo

Created: 12/07/2023 11:14
Updated: 03/02/2026 03:07
Changes: 12/07/2023 11:14 (39), 12/30/2023 14:42 (11), 03/02/2026 03:07 (16)
Complete: 🔍
Cache ID: 216::103

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