Vulnerability-Lookup

GSD-2020-11625

Vulnerability from gsd - Updated: 2023-12-13 01:22

Details

An issue was discovered in AvertX Auto focus Night Vision HD Indoor/Outdoor IP Dome Camera HD838 and Night Vision HD Indoor/Outdoor Mini IP Bullet Camera HD438. Failed web UI login attempts elicit different responses depending on whether a user account exists. Because the responses indicate whether a submitted username is valid or not, they make it easier to identify legitimate usernames. If a login request is sent to ISAPI/Security/sessionLogin/capabilities using a username that exists, it will return the value of the salt given to that username, even if the password is incorrect. However, if a login request is sent using a username that is not present in the database, it will return an empty salt value. This allows attackers to enumerate legitimate usernames, facilitating brute-force attacks. NOTE: this is different from CVE-2020-7057.

Aliases

CVE-2020-11625

Aliases

CVE-2020-11625

JSON

To clipboard

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    "alias": "CVE-2020-11625",
    "description": "An issue was discovered in AvertX Auto focus Night Vision HD Indoor/Outdoor IP Dome Camera HD838 and Night Vision HD Indoor/Outdoor Mini IP Bullet Camera HD438. Failed web UI login attempts elicit different responses depending on whether a user account exists. Because the responses indicate whether a submitted username is valid or not, they make it easier to identify legitimate usernames. If a login request is sent to ISAPI/Security/sessionLogin/capabilities using a username that exists, it will return the value of the salt given to that username, even if the password is incorrect. However, if a login request is sent using a username that is not present in the database, it will return an empty salt value. This allows attackers to enumerate legitimate usernames, facilitating brute-force attacks. NOTE: this is different from CVE-2020-7057.",
    "id": "GSD-2020-11625"
  },
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      "remediation": "unknown",
      "reportConfidence": "confirmed",
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      "lastModifiedDate": "2020-07-29T17:08Z",
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}

CVE-2020-11625 (GCVE-0-2020-11625)

Vulnerability from cvelistv5 – Published: 2020-07-23 20:03 – Updated: 2024-08-04 11:35

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2319 records in the last 180 days details

References

1 reference

URL	Tags
https://unit42.paloaltonetworks.com/avertx-ip-cam…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "url": "https://unit42.paloaltonetworks.com/avertx-ip-cameras-vulnerabilities/"
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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

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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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