ZTE Router HTTPD Binary /var/lua_session dofile file inclusion

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 was found in ZTE Router. It has been classified as very critical. This issue affects the function dofile of the file /var/lua_session of the component HTTPD Binary. Performing a manipulation results in file inclusion. This vulnerability is identified as CVE-2024-45416. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in ZTE Router (unknown version). It has been classified as very critical. This affects the function dofile of the file /var/lua_session of the component HTTPD Binary. The manipulation with an unknown input leads to a file inclusion vulnerability. CWE is classifying the issue as CWE-73. The product allows user input to control or influence paths or file names that are used in filesystem operations. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

The HTTPD binary in multiple ZTE routers has a local file inclusion vulnerability in session_init function. The session -LUA- files are stored in the directory /var/lua_session, the function iterates on all files in this directory and executes them using the function dofile without any validation if it is a valid session file or not. An attacker who is able to write a malicious file in the sessions directory can get RCE as root.

It is possible to read the advisory at wr3nchsr.github.io. This vulnerability is uniquely identified as CVE-2024-45416 since 08/28/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/20/2024).

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

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

Productinfo

Type

Vendor

Name

License

Website

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: 8.8
VulDB Temp Score: 8.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.1
CNA Vector (MITRE): 🔍

CVSSv2info

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

Exploitinginfo

Class: File inclusion
CWE: CWE-73
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

08/28/2024 🔍
09/17/2024 +20 days 🔍
09/17/2024 +0 days 🔍
09/20/2024 +3 days 🔍

Sourcesinfo

Vendor: zte.com.cn

Advisory: wr3nchsr.github.io
Status: Not defined

CVE: CVE-2024-45416 (🔍)
GCVE (CVE): GCVE-0-2024-45416
GCVE (VulDB): GCVE-100-277611

Entryinfo

Created: 09/17/2024 07:18
Updated: 09/20/2024 20:27
Changes: 09/17/2024 07:18 (54), 09/20/2024 20:27 (12)
Complete: 🔍
Cache ID: 216::103

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

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