CVSS Meta Temp Score
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CTI Interest Score
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6.7$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in lukevella rallly up to 3.11.2. The affected element is an unknown function. Performing a manipulation results in entropy. This vulnerability is cataloged as CVE-2025-47781. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, was found in lukevella rallly up to 3.11.2. This affects some unknown functionality. The manipulation with an unknown input leads to a entropy vulnerability. CWE is classifying the issue as CWE-331. The product uses an algorithm or scheme that produces insufficient entropy, leaving patterns or clusters of values that are more likely to occur than others. This is going to have an impact on confidentiality. The summary by CVE is:

Rallly is an open-source scheduling and collaboration tool. Versions up to and including 3.22.1 of the application features token based authentication. When a user attempts to login to the application, they insert their email and a 6 digit code is sent to their email address to complete the authentication. A token that consists of 6 digits only presents weak entropy however and when coupled with no token brute force protection, makes it possible for an unauthenticated attacker with knowledge of a valid email address to successfully brute force the token within 15 minutes (token expiration time) and take over the account associated with the targeted email address. All users on the Rallly applications are impacted. As long as an attacker knows the user's email address they used to register on the app, they can systematically take over any user account. For the authentication mechanism to be safe, the token would need to be assigned a complex high entropy value that cannot be bruteforced within reasonable time, and ideally rate limiting the /api/auth/callback/email endpoint to further make brute force attempts unreasonable within the 15 minutes time. As of time of publication, no patched versions are available.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-47781 since 05/09/2025. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1600.001 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.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.7
VulDB Meta Temp Score: 6.7

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

CNA Base Score: 9.8
CNA Vector (GitHub_M): 🔍

CVSSv2info

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

Exploitinginfo

Class: Entropy
CWE: CWE-331 / CWE-330 / CWE-310
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

05/09/2025 🔍
05/14/2025 +5 days 🔍
05/14/2025 +0 days 🔍
07/11/2025 +58 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-gm8g-3r3j-48hv
Status: Confirmed

CVE: CVE-2025-47781 (🔍)
GCVE (CVE): GCVE-0-2025-47781
GCVE (VulDB): GCVE-100-308919

Entryinfo

Created: 05/14/2025 19:54
Updated: 07/11/2025 21:22
Changes: 05/14/2025 19:54 (62), 07/11/2025 21:22 (1)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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