VAR-201411-0115

Vulnerability from variot - Updated: 2025-04-13 23:26

Multiple cross-site scripting (XSS) vulnerabilities in ZTE ZXDSL 831 allow remote attackers to inject arbitrary web script or HTML via the (1) tr69cAcsURL, (2) tr69cAcsUser, (3) tr69cAcsPwd, (4) tr69cConnReqPwd, or (5) tr69cDebugEnable parameter to the TR-069 client page (tr69cfg.cgi); the (6) timezone parameter to the Time and date page (sntpcfg.sntp); or the (7) hostname parameter in a save action to the Quick Stats page (psilan.cgi). NOTE: this issue was SPLIT from CVE-2014-9020 per ADT1 due to different affected products and codebases. ZTE ZXDSL 831 Contains a cross-site scripting vulnerability. CVE-2014-9020 It was divided from.By any third party, via the following parameters Web Script or HTML May be inserted. ZXDSL831 is an ADSL modem produced by ZTE Corporation. It is a modem with routing function, which can be called a cat routing machine. ZTE ZXDSL 831 has multiple HTML injection vulnerabilities. An attacker could exploit this vulnerability to steal cookies and obtain sensitive information. ZTE ZXDSL 831 is prone to multiple HTML-injection vulnerabilities because it fails to properly sanitize user-supplied input. Successful exploits will allow attacker-supplied HTML and script code to run in the context of the affected browser, potentially allowing the attacker to steal cookie-based authentication credentials or to control how the site is rendered to the user. Other attacks are also possible. # Exploit Title: ZTE ZXDSL 831 Multiple Cross Site Scripting

Date: 11/3/2014

Exploit Author: Paulos Yibelo

Vendor Homepage: zte.com.cn

Software Link: -

Version: -

Tested on: Windows 7

CVE :-

TR-069 Client page: Stored

Show details on source website

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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

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    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.