Vulnerability-Lookup

VAR-201709-0303

Vulnerability from variot - Updated: 2025-04-20 23:23

Command Injection in the Ping Module in the Web Interface on Technicolor TD5336 OI_Fw_v7 devices allows remote attackers to execute arbitrary OS commands as root via shell metacharacters in the pingAddr parameter to mnt_ping.cgi. Technicolor TD5336 Is OS A command injection vulnerability exists.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. TechnicolorTD5336OI_Fw_v7devices is a modem from Technicolor, France. A command injection vulnerability exists in the WebModface's PingModule on the TechnicolorTD5336OI_Fw_v7 device

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CVE-2017-14127 (GCVE-0-2017-14127)

Vulnerability from cvelistv5 – Published: 2017-09-04 20:00 – Updated: 2024-08-05 19:20

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2316 records in the last 180 days details

References

1 reference

URL	Tags
http://jordyf.me/2017/09/02/technicolor-pwn.html	x_refsource_MISC

Date Public

2017-09-04 00:00

Show details on NVD website

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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