Описание
Уязвимость модуля urllib3 интерпретатора языка программирования Python связана с неконтролируемым расходом ресурса. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, вызвать отказ в обслуживании
Вендор
Наименование ПО
Версия ПО
Тип ПО
Операционные системы и аппаратные платформы
Уровень опасности уязвимости
Возможные меры по устранению уязвимости
Статус уязвимости
Наличие эксплойта
Информация об устранении
Идентификаторы других систем описаний уязвимостей
- CVE
EPSS
7.5 High
CVSS3
7.8 High
CVSS2
Связанные уязвимости
The _encode_invalid_chars function in util/url.py in the urllib3 library 1.25.2 through 1.25.7 for Python allows a denial of service (CPU consumption) because of an inefficient algorithm. The percent_encodings array contains all matches of percent encodings. It is not deduplicated. For a URL of length N, the size of percent_encodings may be up to O(N). The next step (normalize existing percent-encoded bytes) also takes up to O(N) for each step, so the total time is O(N^2). If percent_encodings were deduplicated, the time to compute _encode_invalid_chars would be O(kN), where k is at most 484 ((10+6*2)^2).
The _encode_invalid_chars function in util/url.py in the urllib3 library 1.25.2 through 1.25.7 for Python allows a denial of service (CPU consumption) because of an inefficient algorithm. The percent_encodings array contains all matches of percent encodings. It is not deduplicated. For a URL of length N, the size of percent_encodings may be up to O(N). The next step (normalize existing percent-encoded bytes) also takes up to O(N) for each step, so the total time is O(N^2). If percent_encodings were deduplicated, the time to compute _encode_invalid_chars would be O(kN), where k is at most 484 ((10+6*2)^2).
The _encode_invalid_chars function in util/url.py in the urllib3 library 1.25.2 through 1.25.7 for Python allows a denial of service (CPU consumption) because of an inefficient algorithm. The percent_encodings array contains all matches of percent encodings. It is not deduplicated. For a URL of length N, the size of percent_encodings may be up to O(N). The next step (normalize existing percent-encoded bytes) also takes up to O(N) for each step, so the total time is O(N^2). If percent_encodings were deduplicated, the time to compute _encode_invalid_chars would be O(kN), where k is at most 484 ((10+6*2)^2).
The _encode_invalid_chars function in util/url.py in the urllib3 libra ...
EPSS
7.5 High
CVSS3
7.8 High
CVSS2